Explore a conference talk from Snorkel AI's 2023 Foundation Model Virtual Summit where Jimmy Lin, NLP product lead at Sambanova Systems, discusses the challenges of implementing generalized foundation models in business settings. Delve into the concept of a new AI era driven by foundation models, examining their significant improvements over legacy AI technologies. Understand the practical implications for achieving enterprise value, comparing conventional cloud service workflows with SambaNova's domain-specific approach. Learn how specialized training leads to enhanced accuracy, illustrated through real-world examples. Gain insights into SambaNova Systems' role in delivering tailored AI solutions for highest accuracy in domain-specific tasks, surpassing public models.
Overview
Syllabus
Intro
About SambaNova Systems
A New Era of Al: Foundation Models Step function improvements over legacy Al technologies
Practical Implications to Get to Enterprise Value
Conventional Cloud Service Workflow Flexibility around general domain only
SambaNova Domain Specific Workflow Highest accuracy domain specific tasks over public models
Good Training Leads to Better Accuracy
Example Scenario
Taught by
Snorkel AI
Related Courses
-
Solving the Last Mile Problem of Foundation Models with Data-Centric AI
-
Beyond the Model Zoo - Optimizing Foundation Models for Your Application
-
How to Fine-Tune LLMs for Specialized Enterprise Tasks - Curating Data and Emerging Methods
-
Understanding Foundation Models: A New Paradigm for Building and Productizing AI Systems
-
When, Why and How to Fine-Tune LLMs for Enterprise Applications
