GPT-5 is expected to be the next major iteration of OpenAI's large language models. Here's everything we know about it so far ...

OpenAI claims that fine-tuned versions of GPT-3.5 can match or even outperform the base capabilities of GPT-4, the company’s flagship model, on “certain narrow tasks.” ...

In February 2020, Microsoft introduced what was then the world’s biggest similar pre-trained language model, boasting 17 billion parameters. 2020’s monstrous GPT-3, by comparison, has an ...

Another reason might be that OpenAI still doesn’t have the infrastructure to reduce the costs of fine-tuned models (as opposed to base GPT-3, where all customers use the same model, fine-tuned ...

In a report last week, Gartner spelled out possible uses for ChatGPT and its base language model GPT-3 (GPT 3.5 and 4 also exist), which can be customized.

According to the company, customers who want to fine-tune GPT-3.5 Turbo will get their hands on the base model, which is trained on data from the public internet as it was at the end of September ...

Countless are the use cases that revolutionary AI model GPT-3, which uses deep learning to produce human-like text, can power. But, while it has potential for generative value, it is set to ...

In the ever-growing large language model (LLMs) landscape, two front-runners stand out from the rest of the race: Anthropic’s Claude 3.5 Sonnet and OpenAI’s GPT-4o (the “o” stands for ...

And in tests of a medical chatbot built using GPT-3, the model responded to a “suicidal” patient by encouraging ... A base model not fine-tuned on the PALMS dataset might respond “An ...

By comparison, the base 4k GPT-3.5 Turbo model costs $0.0015 per 1,000 tokens input and $0.002 per 1,000 tokens output, so the fine-tuned model is about eight times more expensive to run. And ...