Showing posts with label mlops book. Show all posts
Showing posts with label mlops book. Show all posts

Wednesday, April 17, 2024

RAG Workshop Apr 2024!


We'll have with us three wonderful speakers to discuss RAG this Tuesday [11.30am] Intro to RAG (Andrei Fajardo @nerdai ) [12pm] Unifying RAG and long context length (Lance Martin @rlancemartin ) [12.30pm] Intro to RAG evaluation (@Harpreet Sahota ) Logistics Time: Tuesday, April 16, 11.30am PT Post your questions to the speakers in our discord: https://discord.com/channels/814557108065534033/1229184838368628756 About the speakers Andrei Fajardo is a Founding Software Engineer @ LlamaIndex. Andrei holds a PhD in Statistics & Applied Probability from the University of Waterloo, and has led ML science & engineering teams. Lance Martin is a software engineer at LangChain. Before LangChain, he was a tech-lead focused on applied machine learning at several self-driving vehicles companies and has a PhD from Stanford. Harpreet Sahota is hacker in residence at voxel 51, hacking on LLMs and LMMs, writing courses for LinkedIn learning and Practical RAG with Wiley. Slides: Andrei Fajardo: https://github.com/nerdai/talks/blob/main/2024/mlops/mlops-rag-bootcamp.ipynb Lance Martin: https://docs.google.com/presentation/d/1mJUiPBdtf58NfuSEQ7pVSEQ2Oqmek7F1i4gBwR6JDss/edit#slide=id.g26c0cb8dc66_0_0 Harpreet Sahota: https://drive.google.com/file/d/1ku8_5NL2Uv95cger7sPTyODJ8uGRDdZ4/view?usp=sharing