Abstract: Federated learning (FL) with parameter-efficient fine-tuning (PEFT) methods, such as Low-Rank Adaptation (LoRA), offers a privacy-preserving solution for fine-tuning large language models ...

Latest valuation a jump from $100 billion in August Databricks surpasses $4.8 billion revenue run rate in Q3 Funds to be used to expand research and for talent retention Company delivers positive free ...

Picture an intelligence analyst, eyes glazed over, staring at a wall of monitors. It’s a scene we all know. A firehose of data is flooding in from a crisis overseas—signals, satellite photos, cables, ...

Data intelligence company Databricks is reportedly already in talks to raise fresh capital, just a few months after its last fundraise. Databricks is holding conversations to raise a funding round ...

Nov 17 (Reuters) - Data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, about 30% higher than its last financing round two months ago, The Information ...

What if you could take a powerful AI model and make it uniquely yours, tailored to solve your specific challenges, speak your industry’s language, or even reflect your personal style? That’s the ...

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.

Thinking Machines Lab Inc., the artificial intelligence startup led by former OpenAI executive Mira Murati, today introduced its first commercial offering. Tinker is a cloud-based service that ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

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' ...

Background: Large language model (LLM) fine tuning is the process of adjusting out-of-the-box model weights using a dataset of interest. Fine tuning can be a powerful technique to improve model ...