Overview: Small language models excel in efficiency, deployability, and cost-effectiveness, despite their parameter size.Modern SLMs support reasoning, instruct ...

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 ...

Producing globally competitive models makes China a close peer of the US in AI development China's open-source artificial intelligence models accounted for nearly 30 per cent of total global use of ...

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 ...

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 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 ...

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Open-source large language models (LLMs) research has made significant progress, but most studies predominantly focus on general-purpose English data, which poses challenges for LLM research in ...

For most enterprises, Devstral Small 2 will serve either as a low-friction way to prototype—or as a pragmatic bridge until licensing for Devstral 2 becomes feasible. It is not a drop-in replacement ...

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 ...