With a wave of new LLMs, open source AI is having a moment -- and a red-hot debate

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. The open source technology movement has been having a moment over the past few weeks thanks to AI -- following a wave of recent large language model (LLM) releases and an effort by startups, collectives and academics to push back on the shift in AI to closed, proprietary LLMs. State-of-the-art LLMs require huge compute budgets – OpenAI reportedly used 10,000 Nvidia GPUs to train ChatGPT– and deep ML expertise, so few organizations can train them from scratch. Yet, increasingly, those that have the resources and expertise are not opening up their models -- the data, source code, or deep learning's secret sauce, the model weights -- to public scrutiny, relying on API distribution instead. That is where open source AI is stepping into the void to democratize access to LLMs.