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Best Strategies for Self-Hosted Open Source LLMs

Offered By: Conf42 via YouTube

Tags

Machine Learning Courses Quantization Courses Model Deployment Courses Open Source Courses Fine-Tuning Courses

Course Description

Overview

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Explore strategies for self-hosting open-source Large Language Models (LLMs) in this conference talk presented by Joshua Arvin Lat and Sophie Solive at Conf42 ML 2024. Gain insights into the best practices and approaches for implementing and managing LLMs in-house. Learn about the speakers' backgrounds and expertise before diving into the main discussion. Discover key considerations, challenges, and solutions for organizations looking to leverage open-source LLMs within their own infrastructure. The presentation concludes with a summary of the main points and potential next steps for attendees interested in self-hosting LLMs.

Syllabus

intro
preamble
about us
talk
the end


Taught by

Conf42

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