Advanced RAG by Jay Alammar (Cohere) + Parameter-Efficient Fine-Tuning (PEFT)
Talk #0: Introduction
by Chris Fregly (Principal SA, Generative AI) and Antje Barth (Principal Developer Advocate, Generative AI)
Talk #1: Advanced Retrieval Augmented Generation (RAG) with Cohere on AWS by Jay Alammar, Director @ Cohere
The rise of large language models is inspiring a wide variety of applications. Retrieval-Augmented Generation (RAG) stands as one of the leading use cases for developers and enterprises alike who need to empower the conversational ability of an LLM with grounding on specific data. This talk takes you beyond basic search-then-generate RAG to an advanced setup that utilizes reranking, query re-writing, and citations that vastly improve RAG systems.
Talk #2: Parameter-Efficient Fine-Tuning (PEFT)
by Shelbee Eigenbrode (Principal SA, Generative AI)
RSVP Webinar: https://www.eventbrite.com/e/webinar-...
Zoom link: https://us02web.zoom.us/j/82308186562
Related Links
Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm
O'Reilly Book: https://www.amazon.com/Generative-AWS...
Website: https://generativeaionaws.com
Meetup: https://meetup.generativeaionaws.com
GitHub Repo: https://github.com/generative-ai-on-aws/
YouTube: https://youtube.generativeaionaws.com
![[WORKSHOP] Generative AI and Large Language Models: Fine-tuning with SageMaker + PEFT + RLHF + PPO](https://images.videosashka.com/watch/fLPNMleobgY)
