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Recap: AWS GenAI Developer Day (Oct 15th 2024)

Recap: AWS GenAI Developer Day (Oct 15th 2024)

For those of you who couldn't attend this event, here are recordings of the presentations.

Published Dec 3, 2024
This year, AWS hosted a series of GenAI Lofts. Located in 6 cities around the world, and lasting ~2 months tper city, the program delivered over 200 events to almost 15K in-person attendees featuring knowledge sharing by experts from across the GenAI industry. Events included meetups, workshops, hackathons, game days, networking receptions, and more ...
Our flagship event at the San Francisco Loft was the AWS GenAI Developer Day, organized in collaboration with community partner AICamp, and including speakers from AWS, LangChain, Mistral AI, AI21 Labs and Anthropic. GenAI Developer Day featured a full day's schedule of presentations and workshops running in parallel, and attended by a capacity crowd of 250 software developers. With the San Francisco GenAI Loft located in our own office, we were able to bring in our video team to record the presentations for everyone who couldn't be there. This blog post is to share those videos. I hope you enjoy them.
The videos:
Opening Keynote: Introduction to Generative AI
Speaker: Mike Chambers, Senior Developer Advocate, AWS
We will kick off the event with a comprehensive introduction to generative AI, its applications, and its impact across industries for developers. Attendees will gain insights into the latest trends and how companies are leveraging these advancements to drive innovation leveraging generative AI with AWS.
Inside the Engine of a Large Language Model with AI21
Speaker: Sebastian Leks, Member of the Technical Team, AI21 Labs
Uncover the intricate workings of a large language model with AI21, diving deep into its architecture, training processes, and optimization techniques. This session provides a practical overview of how these models drive real-world AI applications.
Exploring Multimodal RAG: Advanced Search Across Images, Video, and Text
Speaker: Anila Joshi, Applied Science Manager, AWS and Meghana Ashok, ML Engineer, AWS
Discover how retrieval-augmented generation (RAG) can be applied across multiple modalities such as images, video, and text to perform advanced search tasks. Learn about cutting-edge techniques and the tools used to integrate these modalities in real-world AI applications.
Building reliable agents with LangGraph
Speaker : Lance Martin, Software Engineer, LangChain
LangGraph is an open source library for building reliable agents. This talk will cover the motivations for LangGraph, the core pillars of the library (memory, streaming, human-in-the-loop, controllability), popular use-cases, and showcase the LangGraph Studio IDE to visually testing / debugging agents.
Innovating with Multimodality and Reasoning with Mistral AI
Speaker : Avinash Sooriyarachchi, Senior Applied AI Engineer, Mistral AI
In this talk, we will dive into how Mistral AI is creating models with advanced multimodal and reasoning abilities. We will showcase Pixtral as an exemplary model of our multimodal capabilities and demonstrate our advanced reasoning and function-calling features, which are essential for agentic work. Through a live demonstration, we will illustrate how the combination of multimodality and advanced reasoning can transform how people work.
BTW The AWS San Francisco Loft is now a permanent fixture. If you live in the San Francisco Bay Area, or are just visiting, check out our list of current events here.
 

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