How RecursiveMAS speeds up multi-agent inference by 2.4x and reduces token usage by 75%

UIUC and Stanford's RecursiveMAS lets AI agents collaborate in embedding space instead of text, cutting token usage by 75% ...
Geeky Gadgets

Google’s Embedding Gemma On-Device RAG Made Easy for NLP Efficiency

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...
VentureBeat

You can now fine-tune your enterprise’s own version of OpenAI’s o4-mini reasoning model with reinforcement learning

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now OpenAI today announced on its ...
Geeky Gadgets

How to fine tune OpenAI ChatGPT API step-by-step

This quick guide will give you step-by-step instructions on how to fine tune the OpenAI ChatGPT API so that you can tailor it to specific needs and applications. Fine-tuning a large language models ...
InfoQ

OpenAI Releases New Embedding Models and Improved GPT-4 Turbo

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Forbes

How Can Companies Preserve Knowledge? Fine-Tuning An AI Model Is One Way

Have you ever watched someone step off a boat, and it immediately started leaning to one side or even capsizing because their weight was keeping it balanced? The same thing can happen in companies.
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...