What are LLMs, and how are they used in generative AI? computerworld.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from computerworld.com Daily Mail and Mail on Sunday newspapers.
Developer velocity, the speed at which an organization ships code, is often impacted by necessary but lengthy processes like code review, writing documentation and testing. Machine learning PhD Matan Grinberg and Eno Reyes, previously a data scientist at Hugging Face and Microsoft, thought there had to be a better way. During a Hackathon in San Francisco, Grinberg and Reyes built a platform that could autonomously solve simple coding problems a platform that they later came to believe had commercial potential.
Large lanuage models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions even trillions of parameters that can make them both inaccurate and non-specific for vertical industry use. Here's what LLMs are and how they work.
While most large language models like OpenAI's GPT-4 are pre-filled with massive amounts of information, 'prompt engineering' allows generative AI to be tailored for specific industry or even organizational use.