Explore how to leverage Large Language Models (LLMs) for enterprise use with Cerebras-GPT in this informative video. Learn about training from scratch or fine-tuning on enterprise data, understand the concept of compute-optimal LLMs, and discover the fully open-source framework provided by Cerebras. Delve into the differences between training and fine-tuning, explore few-shot learning techniques, and gain insights into pricing considerations for both training and tuning processes. Acquire valuable knowledge on utilizing open-source LLMs for enterprise applications, backed by comprehensive resources and expert guidance.
Bringing LLM to the Enterprise - Training From Scratch or Just Fine-Tune With Cerebras-GPT
Overview
Syllabus
Content Intro
Introducing Cerebras-GPT
Compute Optimal LLM
Fully Open-source Framework
Train Vs Fine-Tune & Few Shot Learning
Pricing for Training Vs Tuning
Conclusion
Taught by
Prodramp
Related Courses
-
Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners
-
Improving Accuracy of LLM Applications
-
Create a Large Language Model from Scratch with Python – Tutorial
-
Comprehensive Guide to Generative AI Development and Implementation
-
Pretraining LLMs
-
Fine Tuning LLM -OpenAI GPT- with Custom Data in Python
