Page Index - amosproj/amos2025ss04-ai-driven-testing GitHub Wiki
97 page(s) in this GitHub Wiki:
- Home
- Our project
- How to use
- How to work on this project
- Structure
- Models
- Our research and experiments
- LLM components and assessment tools
- Training an LLM by yourself
- AI‐Model Benchmark
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- Architecture
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- Backend API Design
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- Benefits of chaining LLMs
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- Choosing the Right Dataset for LLM Training on the University HPC
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- CI Pipeline Overview
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- CLI Design
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- Code Complexity
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- Code Coverage
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- Comparison of 1b, 3b, 7b and 14b models
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- Contributing
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- DeepCoder
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- DeepSeek‐Coder V1
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- Docker Performance
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- Evaluating Large Language Model Responses to Spelling Errors
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- Execution Flow Design
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- Google Gemma 3
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- How to be a Release Manager
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- How to finetune a LLM
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- How to run on the FAU HPC
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- How to start the Webinterface Frontend
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- How to train a LLM
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- Include a project as context
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- Iterative Refinement (Multi‐Pass Generation)
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- LLM Code Understanding Evaluation
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- LLMs incompatibility with our project
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- Mistral AI
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- Model Configuration Design
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- Module System Design
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- Ollama Setup Information
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- OpenHermes 2.5
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- Phi4‐Mini
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- Phi‑4 Reasoning
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- Possible Ways to run Ollama and Settings
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- Prompt Design
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- Qwen 2.5 Coder
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- Qwen3
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- Robot Framework
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- Running AI LLM Projects in CI
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- Smollm2
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- StarCoder
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- StarCoder2
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- TinyLlama
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- User and Developer Guide
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