The model training process is also evolving. RAG training and parameter-efficient fine-tuning are seen as evolutions of traditional model training that produce better quality output with lower ...

Learn how to fine-tune GPT-OSS efficiently with LoRa and quantization. A beginner-friendly guide to optimizing AI models on modest hardware.

LongCat-Flash has shown excellent performance in cost control, reducing the cost per million output tokens to $0.7, whi ...

In July, EPFL, ETH Zurich, and CSCS announced their joint initiative to build a large language model (LLM). Now, this model ...

Switzerland launched an open-source model called Apertus on Monday as an alternative to proprietary models like OpenAI’s ChatGPT or Anthropic’s Claude, reports SWI as spotted by Engadget. The model’s ...

Research has shown that parameters pruned after training, a process that decreases the model size, could have been pruned before training without any effect on the network’s ability to learn.

They found that the process of building and testing a final paper-worthy model required training 4,789 models over a six-month period.

Decentralized AI is emerging as a powerful alternative, enabling smaller businesses to build AI without massive data centers.