Google recently released Gemini Ultra, their largest language model. I love Ultra and now use it instead of GPT-4 on many tasks. Today's guest, Lisa Cohen, leads Gemini's rollout; hear from her how a company with billions of users rolls out new A.I. products.
More on Gemini Ultra:
• The only LLM with comparable capabilities to GPT-4 (in my experience as well as on benchmark evaluations, although I know benchmarking has plenty of issues!)
• Ultra maintains attention across large context windows (Gemini 1.5 Pro has a million-token context, btw!), competently generating natural language and code.
• Like GPT-4V, Ultra is multi-modal and so accepts both an image and text as input at the same time.
• Piggybacking on Google's excellence at search, I’ve found Gemini Ultra to be particularly effective at tasks that involve real-time search (the Google "Bard" project that focused on real-time information retrieval was renamed "Gemini" when Gemini Ultra was released).
Lisa Cohen is perhaps the best person on the planet to be speaking to about the momentous Gemini releases because Lisa is Director of Data Science & Engineering for Google's Gemini, Assistant and Search Platforms. In addition, she:
• Was previously Senior Director of Data Science at Twitter and Principal Director of Data Science at Microsoft.
• Holds a Master's in Applied Math from Harvard University.
In this episode, Lisa details:
• The three LLMs in Google’s Gemini family and how the largest one, Gemini Ultra, fits in.
• The many ways you can access Gemini models today.
• How absolutely enormous LLM projects are carried out and how they’re rolled out safely and confidently to literally billions of users.
• How LLMs like Gemini Ultra are transforming life and work for everyone from data scientists to educators to children, and how this transformation will continue in the coming years.
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