Neowin

Databricks speeds up LLM fine tuning with better results, here's how you can get access

Databricks has unveiled Test-time Adaptive Optimization (TAO), a new fine-tuning method for large language models that slashes costs and speeds up training times. Databricks has outlined a new ...
VentureBeat

Databricks and Hugging Face integrate Apache Spark for faster AI model building

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks and Hugging Face have collaborated to introduce a new feature ...
InfoWorld

Databricks’ TAO method to allow LLM training with unlabeled data

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...
VentureBeat

The $100M OpenAI partnership is nice, but Databricks' real breakthrough makes AI up to 90x cheaper

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...