In this webinar, you will understand and implement RAG from scratch without using any frameworks like LangChain or Llama Index.

This webinar covers

1. What is RAG?
2. How does RAG address LLM limitations?
3. How does RAG work? ( Indexing -> Retrieval -> Augmentation -> Generation)
4. RAG implementation from scratch without any frameworks
5. Practical RAG Applications
6. RAG Limitations

This webinar is highly useful for

1. Students interested in AI/ML
2. AI/ML Engineers
3. Data Scientists
4. Software Engineers transitioning to AI/ML
5. Product Managers working on Gen AI products

By the end of this webinar session, you'll have a clear idea of how RAG works and how to implement it from scratch without using any frameworks.

Webinar Format: 50 min Session + 15 min QA.

Speaker : Kalyan KS, NLP Consultant and Researcher (1600+ citations)

1. Received citations from papers published by researchers from top institutes like Stanford, Harvard, MIT, IITM etc and top companies like Google, DeepMind etc.
2. Served in the program committees of prestigious conferences like EMNLP and workshops like ML4H.