Page Index - terrytaylorbonn/auxdrone GitHub Wiki

1023 page(s) in this GitHub Wiki:

• Home
• 0 AI concepts
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• 0.1 AI dev
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• 0.2 AI doc
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• 0.3 AI chat
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• 0.4 Vector DB
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• 01 coder
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• 1 APIs and API docs
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• 1 Dev concepts
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• 1 Sites and docs
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• 1.0 API and API doc concepts
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• 1.0 API concepts
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• 1.1 API test (paren)
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• 1.1 API doc only
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• 1.1 APIs
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• 1.1 Sim AP core
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• 1.1b Django
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• 1.2 API docs
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• 1.2 Sim AP cpp mission as ROS node
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• 1.3 API and API doc integration
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• 1.3a Sim AP AI yolo obj recog
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• 1.3b Sim AP lidar obj avoid
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• 1.4 Notes
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• 1.4 Sim AP swarm
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• 1.5 Sim AP flight planners
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• 1.6 Sim PX4 core
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• 1.7 Sim PX4 Matlab UAV toolbox
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• 1.8 Sim Matlab AI
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• 10.1 SITL core
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• 10.2 SITL cpp mission as ROS node
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• 10.3 SITL AI yolo obj recog
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• 10.4 SITL Lidar obj avoid
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• 10.5 SITL Swarm
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• 10.6 SITL Flight planners
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• 10.7 SITL PX4 core
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• 13.1 AI CC Ubuntu
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• 13.2 AI CC PI5
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• 13.3 AI CC PI4
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• 13.4 AI CC Jnano
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• 13.5 AI CC STM
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• 13.6 AI Study
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• 14b.1 Matlab UAV toolbox
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• 14b.2 Matlab AI
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• 15.1 AI Kamikadze
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• 1a.1 SBee INAV first flight
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• 1a.2 SBee INAV GPS modes
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• 1a.3 SBee INAV video
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• 1a.3a Cam joystick
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• 1a.3b Smart audio
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• 1a.3c VTX control OSD
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• 1a.3d SBee VTX tests
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• 1a.4 SBee INAV carbon frame
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• 1a.5 SBee INAV tuning missions
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• 1a.6 SBee repair
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• 1b Docs
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• 2 Doc org content
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• 2 Postman docs
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• 2 Stacks and frameworks
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• 2.0 Stacks and frameworks concepts
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• 2.0 Tech overviews
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• 2.1 AI Ubuntu
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• 2.1 Base
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• 2.1 MVP
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• 2.1 Non‐AWS GCP
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• 2.1b AWS SSL
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• 2.2 AI PI4
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• 2.2 Frontend
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• 2.2 GPS
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• 2.3 AI Jetson Nano
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• 2.3 Stack
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• 2.3 Video
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• 2.4 AI STM
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• 2.4 Backend
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• 2.4 Carbon frame
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• 2.5 AI study
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• 2.5 Auth security
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• 2.5 Missions
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• 2.5 Notes
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• 2.5b AWS CodeCatalyst
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• 2.6 Tuning
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• 2.7 Post crash rebuild
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• 20 Kalman KK
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• 21 CV
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• 21.3 Api docs
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• 22 AI
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• 2a.1 Pix PX4 first flight
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• 2a.2 Pix PX4 second outdoor flight
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• 2a.3 Pix PX4 mission test flight
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• 2c.1a Add PI5 and camera
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• 2c.1b 1 Jnano 6c connection
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• 2c.1b 3 Flight test 1
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• 2c.1b Add JNano and camera
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• 3 AI gen doc content
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• 3 ChatMAQ
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• 3 Deployment
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• 3.1 Free deployment (not AWS GCP)
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• 3.1 HITL PX4
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• 3.2 AWS deployment
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• 3.2 HITL Ardupilot
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• 3.2 JavaScript
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• 3.3 GCP deployment
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• 3.3 HITL Matlab
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• 3.3 Python
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• 3.4 Terraform
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• 3.5 CICD
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• 3.6 Notes
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• 327 OpenAI Responses
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• 4 AI chat
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• 4 API AI assist
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• 4 books
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• 4 Doc sites
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• 4.0 AI agents
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• 4.0 API AI optimization
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• 4.1 Batteries
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• 4.1 Git AI
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• 4.2 OpenAI
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• 4.2 Test rig
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• 4.3 Google AI
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• 4.3 Peripherals config
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• 4.4 Firmware build
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• 4.4 Other AI
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• 4.5 Notes AI
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• 4.5a SpeedyBee F405v3 config
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• 4.5b RAG notes diagrams
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• 4.6 Flight rig
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• 4.7 Video GPS config
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• 4.z Tuning
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• 4a 2 Platform 1b SBeeF405 Betaflight
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• 4a 3 Platform 1c SBeeF405 Ardupilot
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• 4a.12 Tuning
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• 4a.13 Flight 3_missions tuning
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• 4a.5 Flight 1
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• 4a.5 Flight 1a
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• 4a.5 Flight 1c
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• 4a.7 Flight modes and missions
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• 4a.8 FC modes using GPS
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• 4a.8 Flight 2
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• 4b 2 Platform 2b Pixhawk6c Ardupilot
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• 4b.4 Firmware build 6c
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• 4b.5 Pixhawk 6c config
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• 5 API management
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• 5.0 Tech overviews
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• 5.1 Flight 1 indoor test
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• 5.1 STM32 tools
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• 5.2 FC firmware dev
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• 5.2 Flight 2 GPS flight modes
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• 5.2b AWS certification
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• 5.3 FC firmware APIs
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• 5.3 Flight 3 Missions
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• 5.4 ROS
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• 5.5 TxRx dev
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• 5.6 Stealth
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• 5000 line Swagger file
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• 6 Other
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• 6 Platform 3 Pixhawk6c PX4 with AI
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• 6.1 Git
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• 6.2 AWS
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• 6.2b AWS certification
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• 6.3 Notes
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• 62.1 Cloud
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• 62.2 Python
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• 62.3 Other Git Conf Jira etc
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• 63 api backup 24.0919
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• 63.0a Demos
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• 63.0b Concepts
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• 63.1 REST Swagger
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• 63.2 Sphinx
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• 63.3 GraphQL
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• 63.4 Postman
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• 63.6 API deploy
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• 63.7 SDKs
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• 63.X Notes
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• 6b.0a Minefield mapping
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• 6b.0b Stealth drone burst comms
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• 6b.1 Mine clearance
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• 6b.2 Target lockon
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• 6b.3 Stealth drone burst comms
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• 7.1 Config object recog
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• 7.1 Nano
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• 7.1b PX4‐Jnano connect
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• 7.2 Flight 1 kitchen test
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• 7.2 PI
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• 7.2.1 Pix6c PX4 AI JNano kitchen build test
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• 7.2.2 Pix6c PX4 AI JNano flight build test in outdoors
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• 7.3 Flight 2 field test
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• 7a Tech notes
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• 7b.1b AP‐Jnano connect
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• 8.1b PX4‐PI5 connect
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• 8a.1 Nano‐PX4 connect code
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• 8a.2 Kitchen build test
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• 8a.3 Field build test
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• 8b.1b AP‐PI5 connect
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• 9.0 SIH NANO PX4
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• 9.1 HITL PX4
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• 9.2 HITL AP
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• 9.3 HITL Matlab
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• A0.1 UI
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• A0.2 Agents
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• A0.2b Agent LLM connection
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• A0.2c Agent addons
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• A1 AI stack deployments
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• A1.1 UI
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• A1d 2 PydanticAI
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• A1d 3 OpenAI API
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• A1d 4 Mistral API
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• A1‐1 LLMs build
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• A1‐2 LLMs train fine‐tune
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• A1‐3 Agent local
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• A1‐4 Tools local
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• A1‐5 Agent deploy
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• A1‐6 Model deploy
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• A1‐7 MCP protocol
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• A1‐8 A2A protocol
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• aaaaaaaaaaaaaaa
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• About author backup 25.0729
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• About the author
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• About the author (old)
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• About the author 4
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• About the author3
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• About the book
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• Active deployments
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• Agents
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• AI
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• AI (for APIs API‐docs)
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• AI agents
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• AI API A16Z
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• AI API demoed
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• AI API deployments
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• AI API deployments devplan
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• AI API notes
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• AI API notes incoming
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• AI API Zyl
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• AI concepts demo
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• AI docs
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• AI docs reasoning generate
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• AI drone overview
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• AI drones
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• AI LCM stacks
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• AI LLM
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• AI localhost tests
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• AI stack FE
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• AI stack FE BE compatibility
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• AI stacks
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• AI tech stack sandbox overview
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• AI test maintain
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• AI, robots, GI (books)
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• Anthropic
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• AP API concepts docs
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• API and API‐doc examples
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• API doc deployments
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• API management
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• API sandbox concepts
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• API sandbox goals
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• APIs API‐docs
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• APIs API‐docs stacks using AI
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• astro.build
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• Avoiding walls and rabbit holes
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• AWS other (Sec CICD AI)
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• Backend
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• BE 322 Uvicorn AI‐chat‐Mistral LHost
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• Blog
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• Blog (old)
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• Chinese brand components
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• Coding Crash Courses
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• Cole
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• Complete doc set
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• Computer vision engineer
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• Concepts
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• Concepts (API sandbox)
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• Concepts (API sandbox) OLD
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• Concepts (API sandbox) v2
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• Concepts_25.06
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• Conferences
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• Config files
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• Core intel
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• Creating APIs using deploy platforms
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• CV AWS FastApi
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• Deleted deployments
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• Demo and sandbox sites
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• Demo and sandbx sites old 24.1113
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• Deployment list
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• Deployments
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• Deployments overview
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• Dev process current
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• Development process
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• django vercel
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• Docs tutorials
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• Documentation
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• Dont waste your time
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• Ebbelaar
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• Ecosystem
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• Embrace the AI Terminator
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• Epic 1 Build and fly FPV drone
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• Epic 2 Build and fly Pixhawk drone
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• Epic 3 Add AI to Pixhawk drone
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• Epic 4 Basic autonomy
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• Epic 5 Advanced autonomy
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• Epic 6 Project management
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• Epic 7 Mission platforms and special projects
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• Epic 8 PITS Pie in the sky
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• Example deployment
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• First flight fast track
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• FPV goggles
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• FPV simulators
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• FPV tech overviews
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• Further education
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• GET A JOB EPIC
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• Getting into the air ASAP
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• Git
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• Git Conf Jira
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• Goals and concepts
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• GPT CPLT dev concepts
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• GPT feedback sections 3 and 4
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• GPT Website Builder
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• Hebrew study
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• HF LLM course
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• How to learn AI (LLMs)
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• Industry overview
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• Inventory
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• Kalman tutorial
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• Langchain
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• Latest progress
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• LIN only
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• LLM concepts
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• LLM stack concepts
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• LLM stacks \ 1 Demos
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• LLM stacks \ 1.1 Full demos
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• LLM stacks \ 1.2 LLMs, UIs
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• LLM stacks \ 1.3 Agents
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• LLM stacks \ 1.4 Tools, RAG, MCP, A2A
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• LLM stacks \ 2 Demo deployments
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• LLM stacks \ 3 Hackathons
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• LLM stacks \ 3 Youtube demos
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• LLM stacks \ 3 YT 3.4 test
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• LLM stacks \ 3 YT \ 3.0a Full demos
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• LLM stacks \ 3 YT \ 3.0b Platforms and tools
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• LLM stacks \ 3 YT \ 3.1 LLMs
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• LLM stacks \ 3 YT \ 3.2 APIs
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• LLM stacks \ 3 YT \ 3.3 Agents
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• LLM stacks \ 3 YT \ 3.4 Human input
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• LLM stacks \ 3 YT \ 3.5 External data
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• LLM stacks \ 3 YT \ 3.6 Security
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• LLM stacks \ 3.0 Avoiding wild goose chases
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• LLM stacks \ 3.1 Hackathons for LLM stacks
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• LLM stacks \ 3.2 Hackathons for applications
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• LLM stacks \ 3.3 Hackathons other
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• LLM stacks \ 4 CPLT \ 4.0a Concepts
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• LLM stacks \ 4 CPLT \ 4.0b Platforms and tools
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• LLM stacks \ 4 CPLT \ 4.1 LLMs
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• LLM stacks \ 4 CPLT \ 4.2 APIs
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• LLM stacks \ 4 CPLT \ 4.3 Agents
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• LLM stacks \ 4 CPLT \ 4.3b Coding agents
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• LLM stacks \ 4 CPLT \ 4.4 Human input
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• LLM stacks \ 4 CPLT \ 4.5 External data
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• LLM stacks \ 4 CPLT \ 4.5.1 ExtData RAG
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• LLM stacks \ 4 CPLT \ 4.5.2 ExtData Tools
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• LLM stacks \ 4 CPLT \ 4.5.3 ExtData MCP
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• LLM stacks \ 4 CPLT \ 4.6 Security
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• LLM stacks \ 4 CPLT demos
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• LLM stacks \ 4 Deep dive
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• LLM stacks \ 4.0 Deep Dive Concepts
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• LLM stacks \ 4.0c CloudFlare AI
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• LLM stacks \ 4.1 LLMs (deep dive)
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• LLM stacks \ 4.2 APIs (deep dive)
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• LLM stacks \ 4.3 Agents (deep dive)
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• LLM stacks \ 4.3b Coding agents (deep dive)
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• LLM stacks \ 4.4 Human input (deep dive)
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• LLM stacks \ 4.5 External data (deep dive)
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• LLM stacks \ 4.5.1 External data RAG
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• LLM stacks \ 4.5.2 External data Tools
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• LLM stacks \ 4.5.3 External data MCP
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• LLM stacks \ 4.6 Security (deep dive)
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• LLM stacks \ 5 Published docs
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• LLM stacks \ 6 Scraped docs
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• LLM stacks \ Gdrive
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• LLM stacks \ Goals
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• LLM stacks \ Websites
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• LLM stacks ‐‐ 3 YT ‐‐ 3.1 Platforms and tools
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• LLM stacks ‐‐ 4 CPLT ‐‐ 4.0b Platforms and tools
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• Local deployments
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• Main doc deployments
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• Manus
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• MCP
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• Mission platforms
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• Mistral 322 (NO RAG)
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• Model UI stacks
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• modelcontextprotocol.io
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• My drone simulation with AI project
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• Notes
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• Notes 250316
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• Notes2
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• Open AI
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• Other doc deployments
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• Other flight simulators
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• Part 1 Total simulation
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• Part 10 SITL
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• Part 11 FC FW APIs
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• Part 12 ROS
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• Part 13 AI CC
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• Part 13c CC autonomy algorithms
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• Part 14 FW dev
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• Part 14b Matlab
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• Part 15 Mission platforms
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• Part 16 Special projects
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• Part 2 Real AI HW
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• Part 2 SBeeF405 INAV
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• Part 3 Real FC HITL
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• Part 3 SBeeF405 BF
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• Part 4 Basic platform build
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• Part 4 SBeeF405 AP
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• Part 4b Basic platform build 6c
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• Part 5 Firmware ROS dev
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• Part 5 Mission platform build
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• Part 5 Pix6c PX4
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• Part 6 Pix6c AP
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• Part 61 Project docs
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• Part 62 Git
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• Part 62.5 AWS Patterns
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• Part 62.5 DCT playlist
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• Part 64 End user docs
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• Part 6b Mission platforms
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• Part 7 AI AP Jnano
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• Part 7 AI cc cam
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• Part 7 AI Jnano
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• Part 7 Config files
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• Part 7 Incoming
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• Part 7 Reference
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• Part 7b AI AP Jnano
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• Part 8 AI PI5
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• Part 8 AI PX4 PI5
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• Part 8a AI Nano PX4
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• Part 8b AI AP PI5
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• Part 8b AI Nano AP
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• Part 8c AI PI PX4
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• Part 8d AI PI AP
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• Part 9 HITL
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• Part X Special projects
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• Partial sim no Gaz
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• Partial sim with Gaz
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• Partial sim with gesture control
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• PID
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• Pix tech overviews
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• Platform 2 Pixhawk
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• Platform 3 Pixhawk AI
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• Project challenges
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• Provonix
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• Rabbit holes
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• RAG
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• RAG 311
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• Readme
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• Reverse engineering
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• Sandbox as a tutorial series
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• Shopping list
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• Sim partial concepts
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• SonicModell Baby AR
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• Stack 1 290
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• The AI part
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• The Astro rabbit hole
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• The goal
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• The race
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• The Ziptie part
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• The ZiptieAI project
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• Upset about strike
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• VIO
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• Web and API doc
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• Why (I created) ZiptieAI
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• Why a sandbox
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• Why learn to use AI (LLMs)
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• with (parens) xxxx
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• Workflow notes
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• Workflows
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• X.2 ESP32 Radar
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• X.3 Optical flow lidar range finder
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• xxx
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• yyy
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• z 8 AI algorithms
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• z All simulation
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• z ETC3 ROS
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• z FRP1 Holybro X500
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• z Homebrew FPV
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• z Part 4 Flight ready platform
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• z Progress (old)
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• Продуктивный Совет
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