Awesome Data Analysis
Section: Resources · Practical course to master large language models from start to finish.
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Appears in 4 awesome lists
Free LLM course with roadmap-style progression and practical Colab notebooks.
Section: Resources · Practical course to master large language models from start to finish.
Section: AI
Section: 课程 Course
Section: AI / Machine Learning / Data Science · Free LLM course with roadmap-style progression and practical Colab notebooks.
robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video,…
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
The Generative AI Landscape - A Collection of Awesome Generative AI Applications.
OpenAI's cookbook includes examples of prompt engineering.
😎 Awesome list of tools and projects with the awesome LangChain framework
Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.
Anthropic's official notebook collection covering orchestrator-worker patterns, parallel tool calling, programmatic tool calling (PTC), context compaction, and Agent SDK examples. The patterns/agents/ directory is the reference implementation of every orchestration pattern described in Building…