Inside Lamini: A New Framework for Fine-Tuning LLMs
Last Updated on May 22, 2023 by Editorial Team
Author(s): Jesus Rodriguez
Originally published on Towards AI.
The framework streamlines the process of using techniques such as RLHF in your LLM models.
Top highlight
Image Credit: Lamini
I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. Please give it a try by subscribing below:
The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and dataβ¦
thesequence.substack.com
Fine-tuning remains one of the most difficult aspects of the lifecycle of large language models(LLMs) development. This process is particularly challenging if we are talking about… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI