I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.
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 ...
OpenAI is opening up again. The company’s release of two “open-weight” models—gpt-oss-120b and gpt-oss-20b—this month marks a major shift from its 2019 pivot away from transparency, when it began ...
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 ...
SAN FRANCISCO (Reuters) -OpenAI said on Tuesday it has released two open-weight language models that excel in advanced reasoning and are optimized to run on laptops with performance levels similar to ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
OpenAI just did something it hasn’t done in years: it released open-source language models. The last time this happened was with GPT-2 back in 2019. Now, we’ve got two new ones: gpt-oss-120b and ...
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.
OpenAI has launched two open-weight AI reasoning models, gpt-oss-120b and gpt-oss-20b, for public use, marking its first open release since GPT-2 in 2019. The move comes amid growing pressure from ...
Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...
As cloud-served large language models (LLMs) flood the market, data privacy continues to be a big problem for end users because they have no control over their data once they've fed it into the models ...
A new report has revealed that open-weight large language models (LLMs) have remained highly vulnerable to adaptive multi-turn adversarial attacks, even when single-turn defenses appear robust. The ...