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Cham ended up writing one of the first checks to Weights & Biases after he was convinced Biewald fulfilled his lofty criteria for backing founders. "I am looking for people who are trying to make a dent in the universe," Cham said. Instead of asking founders how they plan to make that dent, Cham prefers to spend lots of time observing them to see what makes them tick. Cham began making his own dent in the world after majoring in computer science at Harvard and becoming a consultant at Accenture. "The reality that the money that we make goes towards Bloomberg Philanthropies is something founders oftentimes find appealing," Cham said.
Persons: James Cham, Lukas Biewald, Cham, Biewald, Jeff Lawson, It's, Bloomberg Philanthropies, who've, James, Shreya Rajpal, who's, Rajpal Organizations: Bloomberg Beta, Business, Harvard, Accenture, Massachusetts Institute of Technology, Bessemer Venture Partners, Trinity Ventures, Bloomberg
Beneath the buzz, the next-generation developer framework Ray was key in the viral model's training. "ChatGPT combined a lot of the previous work on large language models with reinforcement as well. Before deploying Ray, OpenAI used a hodgepodge set of custom tools built on top of "neural programmer-interpreter" model. All these tools, Ray and JAX included, are in service to a new generation of combustion engines for the internet called large language models. Multiple companies, both startups and giants, are building their own large language models including Meta, Hugging Face, OpenAI, and Google.
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