Shubham Agnihotri
Chief Manager - Generative AI - IDFC Bank
Mumbai, India
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Chief Manager - Generative AI - IDFC Bank, Ex Organizer at TFUG Bangalore,
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Swarms of Intelligence: Crafting Multi-Agent RAG Systems with AWS Bedrock, Claude, Lambda & S3
Unlock the power of collaborative AI agents with a Multi-Agent RAG system that goes beyond simple retrieval. In this session, we’ll build an intelligent, decentralized network of agents using AWS Bedrock, Claude, Lambda, and S3, where each agent specializes in tasks like retrieval, reasoning, validation, and synthesis.
Key takeaways:
- Orchestrating multiple Claude agents for dynamic problem-solving.
- Building specialized retrieval pipelines with S3-powered knowledge stores.
- Using Lambda for agent coordination and task delegation.
- Implementing self-improving feedback loops for enhanced accuracy and efficiency.
Beyond Search: Transforming Answers with Generative AI
I'll begin with a comprehensive exploration of RAGs, RAGAS, LLMs, vector databases, and the indispensable toolkit, including langchain/llamaindex. Subsequently, I will dive into a practical, hands-on experience. During this segment, participants will delve into building a customized Question Answering bot for a specific domain, equipping them with the expertise to create their very own bots, perfectly suited for their unique document collections."
Autonomous Knowledge Agents: Building a Next-Gen RAG System with AWS Bedrock, Claude, Lambda & S3
Step into the future of AI-powered retrieval with Agentic RAG—where LLMs don’t just fetch data, but think, reason, and act autonomously. In this session, we’ll harness the power of AWS Bedrock, Claude, Lambda, and S3 to build a next-gen self-improving retrieval system.
Key takeaways:
- Claude on Bedrock for dynamic, context-aware generation.
- S3 as a scalable knowledge vault for seamless retrieval.
- Lambda-driven orchestration for real-time, event-driven processing.
- Agentic workflows that refine retrieval and response autonomously.
Accelerating Training with Multi-GPU: Using PyTorch Lightning for PaLI-Gemma VLM
Dive into the world of high-performance model training with multi-GPU setups using PyTorch Lightning, featuring the PaLI-Gemma Vision-Language Model (VLM). This session will cover the essential tools and techniques for setting up efficient distributed training pipelines, allowing you to fully utilize multiple GPUs to speed up and scale model training. We’ll explore PyTorch Lightning’s seamless integration for handling multi-GPU workloads, making it accessible even for those new to distributed training. Attendees will get a step-by-step guide to configuring PaLI-Gemma for accelerated training, from data handling to model synchronization and optimization strategies. By the end, you'll have the skills needed to harness the power of multi-GPU training to scale multimodal AI models effectively.
MultiModel RAGs: Unlocking the Power of Multimodality with PaliGemma
Unlocking the Potential of Multimodality with Pali-Gemma. In this session, I’ll dive into the concepts and applications of multimodality, showcasing how combining multiple forms of data can enhance AI model capabilities. I’ll walk through the process of training on Colab/Kaggle, highlighting each step from data preparation to fine-tuning. Following the training phase, I’ll demonstrate how we can leverage Hugging Face Spaces for inference and deployment, providing a practical approach to deploying powerful Vision-Language Models (VLMs) in real-world applications. This session will serve as a comprehensive guide for anyone interested in building and deploying multimodal AI solutions, showing how PaLI-Gemma, a state-of-the-art model, is trained and implemented. By the end, participants will have a solid understanding of how multimodal RAGs work and how to bring them to production efficiently.
Building Transformers: Code Your Vision
From hugging face transformers to transformers from scratch in python, hands on Workshop with Transformers brush ups to implementing it.
Devfest Mumbai, 2023 Sessionize Event
Shubham Agnihotri
Chief Manager - Generative AI - IDFC Bank
Mumbai, India
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