New firm helps enterprises deploy open-source and private LLM systems with full data control, transparency, and production-grade ...

Despite widespread adoption of large language models across enterprises, companies building LLM applications still lack the right tools to meet complex cognitive and infrastructure needs, often ...

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 ...

TensorZero, a startup building open-source infrastructure for large language model applications, announced Monday it has raised $7.3 million in seed funding led by FirstMark, with participation from ...

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 ...

The bird-themed social network Twitter's identity may have been X-ed out by new owner Elon Musk, but that hasn't stopped one of its cofounders, Jack Dorsey, from taking on new bird names for a new ...

The latest trends and issues around the use of open source software in the enterprise. Red Hat has announced the launch of llm-d, a new open source project designed to address generative AI’s future ...

Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow. The proliferation of large ...

ETH Zurich and EPFL’s open-weight LLM offers a transparent alternative to black-box AI built on green compute and set for public release. Large language models (LLMs), which are neural networks that ...

SAN FRANCISCO & ZURICH--(BUSINESS WIRE)-- Check Point Software Technologies Ltd. (CHKP), a pioneer and global leader of cyber security solutions, and Lakera, a world leading AI-native security ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...