{"id":74518,"date":"2023-10-05T09:00:38","date_gmt":"2023-10-05T16:00:38","guid":{"rendered":"https:\/\/github.blog\/?p=74518"},"modified":"2024-05-20T07:34:59","modified_gmt":"2024-05-20T14:34:59","slug":"a-developers-guide-to-open-source-llms-and-generative-ai","status":"publish","type":"post","link":"https:\/\/github.blog\/ai-and-ml\/llms\/a-developers-guide-to-open-source-llms-and-generative-ai\/","title":{"rendered":"A developer’s guide to open source LLMs and generative AI"},"content":{"rendered":"\n

We all know that AI is changing the world. But what happens when you combine AI with the power of open source?<\/p>\n

Over the past year, there has been an explosion of open source generative AI projects on GitHub<\/a>: by our count, more than 8,000. They range from commercially backed large language models (LLMs) like Meta’s LLaMA<\/a> to experimental open source applications.<\/p>\n

These projects offer many benefits to open source developers and the machine learning community—and are a great way to start building new AI-powered features and applications.<\/p>\n

In this article, we’ll explore:<\/p>\n