Event Details

Details

Langauge Models (ChatGPT or Perplexity) can generate human like answers about any generic questions as it is trained on publicly available internet data. What if I want to ask Language Models to answer question about my business or private enterpise data ? How can you extend the Language Model cognition to your own private data ?

This involves a method to retrieve your private data , augment it with cognition of the Langauge Model and Generate the respone. The method is called Retrival Augmented Generation (RAG).

We will learn and implement a Naive RAG and Advanced RAG.

WHO CAN ATTEND

  1. Project Manager or Developers looking to upskill
  2. Enterpise Architects who wants to build Enterpise Gen AI solutions
  3. Researchers who wants to learn more aboout Advanced RAG
  4. JOb Seekers
  5. Developers who wants to embrace Gen AI

This will be a technical discussion so If you are not aware of Gen AI or LLM , please go through these resources to have a basic understanding of the Embeddings, Vector Database , LLM working knowledge.

https://www.cloudflare.com/learning/ai/what-are-embeddings/
https://www.cloudflare.com/learning/ai/what-is-vector-database/
https://www.assemblyai.com/blog/how-chatgpt-actually-works/

DO NOT ATTEND IF YOU JUST WANT TO BE USER OF TOOLS LIKE GEN AI AND NOT INTERESTED IN BUILDING SOLUTIONS WITH GEN AI.

Event Time

January 1, 2024, 6:00 PM - 9:00 PM

Online event - Link visible for attendees

LET'S GET YOUR PROJECT
STARTED.

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