Satish Bhambri

In this engaging discussion, Satish Bhambri, a Senior Data Scientist at Walmart Labs, dives deep into the evolution of machine learning, exploring the transition from RNNs to transformers. He sheds light on the emergence of RAG systems and their ability to ground large language models, tackling issues like hallucinations. Satish explains the benefits of agentic RAG for creating specialized agents and the trade-offs between APIs and agents. He also shares insights on vector database selection and the importance of data freshness in recommendation systems.