News

TensorZero raises $7.3 million to build an open-source AI infrastructure stack that helps enterprises scale and optimize ...
Developers are free to create and distribute derivative models. Importantly, Nvidia does not claim ownership of any outputs ...
Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.
Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.
Liquid AI has described this license as based on Apache 2.0 principles, but the full text has not yet been published.
For now, the changes should help placate users who felt frustrated by the sudden shift to GPT-5 and deprecation of OpenAI's ...
While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true ...
Anthropic's Claude Sonnet 4 supports 1 million token context window, enables AI to process entire codebases and documents in ...
Press Release Continua, the company pioneering Social AI, today announced it has raised $8 million in seed funding to uplevel ...
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.
For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.
We could soon find ourselves deferring to AI assistants that botsplain our every experience in real time. Is this empowerment or deferral?