Tag: Databricks

Databricks, a San Francisco-based company, recently released Dolly 2.0, its upgraded large language model (LLM). This open source instruction-following LLM is fine-tuned on a freely-available dataset, and comes with no API access or need to share data with third parties. By acquiring over 15,000 data responses from 5,000 workers across 40 countries, the company made the fine-tuning process a reality. Users now have access to the training data, a feature Google Bard and OpenAI ChatGPT lack. Led by CEO Ali Ghodsi, company strives to make data engineering, machine learning and business analytics easier and more accessible.

Databricks, the San Francisco-based data analytics company, has released the open source text-generating AI model, Dolly 2.0, allowing developers to create applications on its platform. With 15,000 records generated by thousands of Databricks employees, Dolly 2.0 is the first to offer independent developers and companies to use it commercially. Dolly 2.0 offers apps like chatbots, text summarizers and basic search engines.

Two of the leading names in AI technology, Yann LeCun and Andrew Ng, have rejected a proposed six-month suspension on the development of advanced AI systems as unhelpful and counter-productive. They cite possible economic damage and AGI risks as primary concerns, advocating instead for possible controls of AI systems with accountability and collaboration. With potential risks and rewards, the experts discussed these issues and the role of regulation and collaboration of governments, researchers, and corporations.

. Discover the latest news from Databricks – the unified data analytics platform – and learn how its Lakehouse for Manufacturing platform is helping leading companies such as DuPont, Honeywell, Rolls-Royce, and Shell leverage data and AI for and streamline operations. Attend their July 11-12 event in San Francisco and hear from top execs!

Discover the AI-powered search engine of the future with Perplexity AI. Their mobile app on iOS puts the power of contextual conversations and relevant results in the hands of users. Founders Aravind Srinivas, Denis Yarats, Johnny Ho and Andy Konwinski recently secured a $26M Series A funding round, with investors such as NEA, Databricks Ventures, Nat Friedman and Yann LeCun. Creating an answer to customized queries rapidly and accurately, this is changing the nature of search.