31.01.2024 18:00 RG Hamburg 2024/01: LangChain & From RAG to Agents – Getting the most out of GPT-4/3.5 & Llama 2

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Hi, Data Folks from Hamburg!

Happy New Year to all of you!

We have again tried to listen to your requests for topics and are bringing an evening around Large Language Models (you know, the stuff behind ChatGPT, CoPilot, Bard, etc…)

Nevertheless, we would like to ask you all, really all of you, to take part in our survey! That would be great because we would also like to respond to you in the future.
https://forms.office.com/e/41XgDbd6Rp

Attention! We have gained another room sponsor! The Computer Futures! Don’t worry; you won’t have to figure out a new route for the evening, as the venue is virtually on the opposite street side of Microsoft, in the Axel-Springer-Building.

And as usual, cold drinks will be available again.
Thank you, Computer Futures!

18:00 Open door and warm up networking round
18:15 Intro
18:30 Talks…
20:00 Open discussion about your LLM projects/experiences/fails
21:00 The End…

LangChain: Talk with your data! (Andrea Stefanachi)
Andrea Stefanachi is a dedicated Data Professional based in Hamburg, Germany. Since beginning his career in the industry, Andrea has worked with numerous companies, gaining substantial expertise within different domains. Through social media, he actively shares insights, practical tips, and use cases on Microsoft Azure and Data. Beyond his professional pursuits, Andrea is a husband, adventurer, and food enthusiast who enjoys connecting with like-minded individuals.

From Prompts to RAG to Agents (Sascha Lorenz)
Why is the agent concept now almost mandatory for severe applications in the LLM environment? Do I need more than a VectorStore for my RAG?
This talk goes into the basics of agents, shows some examples, and explains why projects like AutoGPT, AutoGen, LangChain, LlamaIndex, CrewAi, etc., could not do without agents.