LLM-Tutorial

Materials and Resources

Machine Learning

1. Numpy, Pandas or fundermentals resources, or
2. Kagger for learning, https://www.kaggle.com/
3. Sksci learning Sk learning https://scikit-learn.org/
4. Pytorch learning, https://pytorch.org/
5. TensorFlow learning, https://www.tensorflow.org/

Large Language Model

1. GPT free try, https://build.nvidia.com/explore/discover
2. LLM's transformation, Attension is all you need. https://build.nvidia.com/explore/discover](https://github.com/hkproj/transformer-from-scratch-notes)https://github.com/hkproj/transformer-from-scratch-notes
3. Build Local LLM with ollama, https://ollama.com/
4. Open WebUI for prompt, https://github.com/open-webui/open-webui
5. Desktop UI for prompt, https://lmstudio.ai/
6. RAG for internal docs, https://stackoverflow.blog/2023/10/18/retrieval-augmented-generation-keeping-llms-relevant-and-current/ https://www.promptingguide.ai/research/rag
7. Anthing LLM, https://github.com/Mintplex-Labs/anything-llm

Agents for LLM

1. Autogen, https://github.com/microsoft/autogen
2. CrewAI, https://github.com/joaomdmoura/crewAI