Presented by:

I am an AI Engineer and Researcher with a PhD in Computer Science, specializing in building scalable, production-ready AI agents. With a background spanning cybersecurity, FinTech, and gaming, I focus on bridging the gap between cutting-edge research and real-world application. Currently, I am dedicated to advancing autonomous decision-making and intelligent automation. Beyond engineering, I am an active tech community organizer and speaker. Let’s connect to discuss AI agents, machine learning, or open-source innovation.

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In this interactive workshop we will learn how to change the answer of an LLM using a technique called RAG. After a brief introduction to open source LLMs and how prompt engineering works, we will discover how it is possible to change the output of a model using the langchain python library. Requirements: please follow the instructions of this doc: https://docs.google.com/document/d/1ubc_L-2xm0Gx4GATp7v3I4WgPXsTduPsQ391W9-ef7w/edit?usp=sharing

Date:
2024 June 22 - 10:00
Duration:
2 h
Room:
Sala Riogordo 2
Conference:
OpenSouthCode 2024
Language:
English
Track:
Difficulty:

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