LoRA (Low-Rank Adaptation) adapters are a key innovation in the fine-tuning process for QWEN-3 models. These adapters allow you to modify the model’s behavior without altering its original weights, ...

Qwen Team — a division of Chinese e-commerce giant Alibaba developing its growing family of open-source Qwen large language models (LLMs) — has introduced QwQ-32B, a new 32-billion-parameter reasoning ...

Lobo, Elita, Chirag Agarwal, and Himabindu Lakkaraju. "On the Impact of Fine-Tuning on Chain-of-Thought Reasoning." Proceedings of the Conference of the Nations of the Americas Chapter of the ...

HOPPR today announced that NVIDIA open models, NV-Reason and NV-Generate, are now available on the HOPPR™ AI Foundry, expanding developer access to advanced reasoning and generative AI capabilities ...

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

Have you ever wondered how to transform a general-purpose language model into a finely tuned expert tailored to your specific needs? The process might sound daunting, but with the right tools, it ...

OpenAI on Friday launched a new AI “reasoning” model, o3-mini, the newest in the company’s o family of reasoning models. OpenAI first previewed the model in December alongside a more capable system ...

Abu Dhabi-based Mohamed bin Zayed University of Artificial Intelligence’s ( MBZUAI ) Institute of Foundation Models has released K2 Think V2, a 70 billion-parameter open-source reasoning model that ...

On Monday, OpenAI CEO Sam Altman announced that the company plans to release its new open-weight language model with reasoning capabilities in the coming months. This decision might have been driven ...