Leveraging Open Source Large Language Models for Production
Offered By: LLMOps Space via YouTube
Course Description
Overview
Explore the world of open-source Large Language Models (LLMs) and their practical applications in this 54-minute conference talk by Andrey, founder of dstack. Gain insights into the comparative analysis between open-source LLMs and proprietary options like OpenAI, and delve into the economic aspects of hosting these models. Learn how to evaluate and benchmark LLM models based on performance, and witness a demonstration of operating and fine-tuning models using dstack, an open-source tool. Discover the costs and benefits associated with hosting open-source LLMs, and understand their potential for production environments. This talk, presented by LLMOps Space, a global community for LLM practitioners, provides valuable knowledge for those interested in deploying LLMs into production.
Syllabus
Leveraging Open Source Large Language Models (LLMs) for Production | Dstack
Taught by
LLMOps Space
Related Courses
Creating Versatile AI Agents Through WebAssembly and RustLinux Foundation via YouTube Building a Q&A App with RAG, LangChain, and Open-Source LLMs - Step-by-Step Guide
Code With Aarohi via YouTube Self-Hosted LLM Agent on Your Own Laptop or Edge Device
CNCF [Cloud Native Computing Foundation] via YouTube Open Source LLMs: Viable for Production or a Low-Quality Toy?
Anyscale via YouTube GPT-4 vs Open Source LLMs: Epic Rap Battles Test Creativity with AutoGen
Data Centric via YouTube