AI Meetup (Chicago): Generative AI and LLMs

Sep 28, 05:00 PM CDT Add to calendar: Google | Yahoo
  • Chicago AICamp
  • 133 RSVP

Welcome to the monthly in-person AI meetup in Chicago, in collaboration with AWS. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & peers developers

* 5:00pm~5:30pm: Checkin, Food/drink and networking
* 5:30pm~5:40pm: Welcome/community update/Sponsor intro
* 5:40pm~7:30pm: Tech talks
* 7:30pm: Open discussion & Mixer

Tech Talk 1: Building a GenAI-based chat bot using Retrieval Augmented Generation
Speakers: Venu Thangalapally, Guillermo Tantachuco @AWS
Abstract: In this session, we will describe GenAI, Retrieval Augmented Generation (RAG), and how RAG ensures that responses are grounded in factual information to reduce the likelihood of hallucinations. We will use Amazon Bedrock to build a question answering chat bot with foundation models (FMs). This chat bot leverages RAG, AWS Lambda, and Amazon Kendra to search a knowledge base and understand the context and return the most relevant results.

Tech Talk 2: Fine Tuning LLMs to augment IDP workflows
Speakers: Alfredo Castillo, Arun Batra @AWS
Abstract: Performing Common Sense Reasoning and question answering using Large Language Models (LLMs) on a document is a crucial task in Natural Language Processing (NLP) to extract meaningful context and provide insightful answers from the textual data in a more intuitive manner. In this lecture, we will explore how to extract text from documents using Amazon Textract for Intelligent Document Processing workflows (IDP). Improve the responses via Retrieval-Augmented Generation (RAG) approach with Vector database and create inferences from the LLM for Q&A.

Tech Talk 3: Choice of Vector Database for GenAI
Speaker: Puneet Rawal @AWS
Abstract:In this session Puneet Rawal will walk through various factors that goes into picking a vector database for GenAI use cases like ChatBot, Summarization, Content Generation etc. This will be an in-depth look at comparison of index types, configuration, performance and cost of various databases like Postgres, OpenSearch, PineCone, Milvus etc.

Amazon Web Services Inc.
227 W Monroe St #1400, Chicago, IL 60606 Google Map
How to find us: 14th floor. Government-issued ID is required for checkin.

Community on Slack
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join #chicago channel)

Puneet Rawal

Puneet Rawal
Over 18 extensive experience in databases and machine learning tools. Currently working as a database specialist for Amazon Web Services where he is an avid promoter of using graph databases for real-time inference and predictions.
Venu Thangalapally
13-plus years of extensive experience in Infrastructure and application modernization. He is currently working as a generalist senior solutions architect and Gen AI ambassador for Amazon Web Services.
Guillermo Tantachuco
Principal Solutions Architect and Generative AI ambassador at AWS, where he works with Financial Services customers on all aspects of GenAI, software delivery, and internet-scale systems.
Alfredo Castillo
Solutions Architect at AWS, where he works with Financial Services customers on all aspects of internet-scale distributed systems, and specializes in Machine learning, Natural Language Processing, Intelligent Document Processing, and MLOps.
Arun Batra
Solutions Architect at AWS and helping customers implementing API Led architectures , distributed systems, low-latency solutions, Analytics and Real Time systems on AWS.
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