Stanford Webinar - Agentic AI: A Progression of Language Model Usage

Votre vidéo commence dans 10
Passer (5)
cash machine v4

Merci ! Partagez avec vos amis !

Vous avez aimé cette vidéo, merci de votre vote !

Ajoutées by admin
5 Vues
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

In this webinar, you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns, such as reflection, planning, tool usage, and iterative LM usage.

This online session will cover:
Overview of LMs
LM Usage and limitations
Retrieval Augmented Generation (RAG)
Tool usage
Agentic LMs
Agentic design patterns

About the speaker: Insop Song

Insop is a Principal Machine Learning Researcher at GitHub Next. Previously he worked at Microsoft, where he focused on leveraging machine learning and large language models to boost engineering productivity. His projects included fine-tuning open-source large language models with internal code and text, developing document assistance tools, and applying AI to various engineering tasks. He is currently a course developer as well as a course facilitator for Stanford Online’s professional AI program.
Catégories
Webinar
Mots-clés
Stanford, Stanford Online

Ajouter un commentaire

Connectez-vous ou inscrivez-vous pour poster un commentaire.

Commentaires

Soyez le premier à commenter cette vidéo.