On January 20, 2025, Chinese AI startup DeepSeek unveiled R1, an open-source large language model (LLM) that is redefining industry expectations. Designed to offer performance on par with proprietary ...

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls. The ...

Adoption trends signal accelerating open-source growth as enterprises rethink long-term AI infrastructure strategySeattle, Washington, United ...

The explosion of open-source AI frameworks has given developers unprecedented flexibility in deploying AI models. Portkey, an open-source AI gateway, simplifies AI model orchestration by providing a ...

Driving shift to open-source based Agents with an Open, Inference-First full-Stack AI Platform SAN JOSE, Calif., March 16, 2026 /PRNewswire/ -- Qubrid AI, a leading Open, Inference-First Full-Stack AI ...

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...

IBM recently updated its Granite series of enterprise open-source large language models, introducing Granite 3.0 to better meet business needs of balanced performance, safety, and cost-efficiency.

OpenAI releases its first open-source LLMs in six years. OpenAI's smallest AI model can run on a laptop. Early reports indicate these new models may have trouble with hallucinations. Open-weight ...

The release of Deepseek v3.1 signifies a major advancement in the realm of large language models (LLMs). This open source AI model, licensed under MIT, introduces a powerful 700GB mixture of experts ...

Meta AI has unveiled the Llama 3.2 model series, a significant milestone in the development of open-source multimodal large language models (LLMs). This series encompasses both vision and text-only ...

Machine Unlearning platform powered by the NVIDIA stack demonstrates up to 91% reduction in prompt injections and 95% reduction in bias across foundat ...