Found 162 presentations matching your search
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. Howev...
Discover how MongoDB Atlas and vector search technology can revolutionize your application's sea...
In the age of artificial intelligence, Large Language Models (LLMs) have rapidly moved beyond just p...
This presentation from Wild West Hackin' Fest 2024 by Dr. Feynman Liang, Co-founder & CTO of...
As you might have experienced, LLMs are powerful but not always trustworthy assistants. With a combi...
Presented at All Things Open 2025 Presented by Cedric Clyburn - Red Hat Title: Everything You Need ...
Imagine having a toolbox filled with the best AI writing assistants, each a master of its craft! Sto...
Applications of Generative Artificial intelligence
Intro to ai prompt engineering
Keynote: How to build smart models for code generation
https://www.meetup.com/sf-bay-acm/events/306888467/ A January 2025 paper called “Frontier Models ...
SaaStr Annual 2024: Outsmarting LLMs: 5 Strategies for Founders & Technologists with Zencoder
Large Language Model (LLM) and it’s Geospatial Applications.
Understanding GPT & LLMs – How Large Language Models work and their impact on AI-driven applic...
This material discusses how to use the llama framework to increase programmer productivity at work
Artificial Intelligence (AI) tools have revolutionized the software industry by streamlining data an...
“AGI should be open source and in the public domain at the service of humanity and the planet.”
Discuss the importance of evaluation and observability in generative AI applications, focusing on me...
This is a gdsc gen ai study jams cloud event
Claude code on the web とは何なんだろう？ 実際に触ってみました。 Sandbox 環境...
AI-Driven Development based on Natural Language framework_VercelMeetupLT#2
In this talk, I give an overview and demo of Phoenix, an AI-powered test generation engine for Ruby ...
The rapid advancement of language models has greatly improved text generation and interaction, but i...
LLM Hands on
![[DSC DACH 24] Evalution and Observability of Gen AI application - Igor Nikolaienko](https://slidepub.com/thumb/0013/271830013.jpg)
![[DSC DACH 24] Privacy-Aware Retrieval Augemented Generation - Damir Kopljar](https://slidepub.com/thumb/0000/271830000.jpg)
