What separates a mediocre large language model (LLM) from a truly exceptional one? The answer often lies not in the model itself, but in the quality of the data used to fine-tune it. Imagine training ...

The fields of natural language processing (NLP) and natural language generation (NLG) have benefited greatly from the inception of the transformer architecture. Transformer models like BERT and its ...

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 ...

Thinking Machines Lab Inc., the artificial intelligence startup led by former OpenAI executive Mira Murati, today introduced its first commercial offering. Tinker is a cloud-based service that ...

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.

Fine-tuning is like coaching a trained athlete to master a new technique. You’ve learned to swim—now you’re training for a triathlon. That’s fine-tuning. In machine learning, it means starting with a ...

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 ...

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 ...