New Course: Finetuning Large Language Models

Introducing “Finetuning Large Language Models,” a short and practical course designed to elevate your proficiency using LLMs for your own applications.

Learn how finetuning seamlessly integrates into the training process, the distinctions between finetuning and other methods like prompt engineering and Retrieval Augmented Generation (RAG), and why finetuning is an important leap in capability over many other methods.

By the end of the course, you will:

- Recognize the best use cases for finetuning LLMs
- Choose suitable open source models unique to your application
- Get your data ready for finetuning
- Train and evaluate an LLM on your data

This is an intermediate program for developers eager to learn the techniques and applications of finetuning and have basic Python and PyTorch knowledge.

[elrecreoadan]

Hi there, I'm an entrepreneur from Bogotá, Colombia, and I'm eager to transition into AI-powered businesses. As a beginner, I've found the path to be a bit challenging, so it's fantastic to discover a platform like yours. I've been conducting research to better understand when it's appropriate to offer a potential client either fine-tuning an LLM or configuring an AI bot like Voiceflow or Botpress for customer service. I'm unsure about the point at which AI bots become insufficient and when an LLM becomes the better option. I would greatly appreciate your guidance.