Underpinning recent advances in AI are high-performance processor chips. While Nvidia dominates this market, startups are seizing the opportunity to innovate.
Language Models like GPT-4 have taken the world by storm, yet the most significant long-term opportunity for LLMs will use the language of biology.
In this week’s Radical Reads, we explore the most significant takeaways for industries looking to integrate AI into their operations.
Aaron Rosenberg, previous Head of Strategy & Operations at DeepMind, joined as a Partner at Radical Ventures, based in London.
Performing well across tasks is difficult, as is benchmarking these models’ performance. Performance tends to vary depending on the task at hand. How can we determine if a model is “better” than another?
Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.
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