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LLMs for the Rest of Us - Deploying Open-Source Language Models in the Cloud

Offered By: MLOps.community via YouTube

Tags

Machine Learning Courses Python Courses MLOps Courses Cloud Infrastructure Courses Serverless Computing Courses Data Privacy Courses Open Source LLMs Courses

Course Description

Overview

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Explore the challenges and solutions for deploying open-source Large Language Models (LLMs) in enterprise environments in this insightful conference talk. Learn how Aqueduct addresses security and data privacy concerns associated with proprietary LLMs by enabling the deployment of open LLMs on cloud infrastructure using simple Python code. Gain valuable insights from Vikram Sreekanti, co-founder and CEO of Aqueduct, and Joseph Gonzalez, Professor at UC Berkeley and co-founder of Aqueduct, as they discuss the complexities of LLM adoption and present innovative approaches to streamline the process for businesses. Discover how open-source solutions can revolutionize LLM implementation, making advanced language models accessible and manageable for a wider range of enterprises.

Syllabus

LLMs For the Rest of Us // Vikram Sreekanti & Joseph Gonzalez // LLMs in Prod Conference Part 2


Taught by

MLOps.community

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