Register here: https://itesm.zoom.us/meeting/register/tZMrdu-srz8qGdRm6gA4LYLT_ND4u49JfJ0E
Seminar Abstract
The seminar aims to provide an in-depth exploration of the latest advancements in the world of Large Language Models (LLMs), with a particular emphasis on Large "instruction-tuned" language models that have been finely tuned to respond to instructions. During the seminar, we will delve into the key concept of combining abilities for reasoning, such as chain-of-thought prompting and acting, like action plan generation.
One of the main focuses of the seminar will be to demonstrate the capabilities of LangChain, a powerful framework for developing applications powered by language models. We will discuss the key concepts of chains, agents, and prompt serialization, and show how LangChain can be effectively used to overcome the current limitations of LLM.
If you're interested in learning how LLM can be used to autonomously chain together "thoughts" to achieve your desired goals, this seminar is perfect for you. Join us to explore the cutting-edge techniques and tools for leveraging the power of LLM and take your understanding of this exciting field to the next level.
Seminar Recording
About the Speaker
Sabur Butt is a PhD student in Computer Science at Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN). He specializes in Natural Language Processing (NLP), and his broad research interests are in topics like Personality/Emotion Detection, Low Resource Languages, and Question Answering. He aspires to create computing solutions with more insights into human behavior.
Address
The seminar will be held via Zoom. Previous registration is required.