Description:

The session starts with brief on Encoder-Decoder, Attention model architecture. We will discuss in detail about Generative AI using LLM Models - model training, instruction tuning, fine-tuning, RLHF. Also, we discuss about Generative AI project life cycle and some of the Banking use cases in action.

• Generative AI & LLM
• LLM Use Cases and Tasks
• Text generation before transformer
• TRansformer Architecture
• Transformer: Attention is All You Need
• Generative AI project lifecycle
• Base LLM Model and Fine Tuning
• Fine Tuning - PEFT, LoRA
• Reinforcement Learning using Human Feedback
• Banking use cases
  1. AI based search engine
  2. SQL Query Generation using Metadata

Prerequisites:

Basic understanding of NLP

Speaker Links:

https://www.linkedin.com/in/supriyaraman007/