Why are some AI applications too good to be true and others total bunk? What is the reason behind the massive gap between over-promise and under-deliver? Let's talk about LLM history, mystery, and optimization to figure out where the f**k is all the automation.
Diogo Almeida is the Co-founder and CEO of TypeSafe AI, a company building a new class of large language models for true no-human-in-the-loop automation. Diogo brings a decade of deep AI research experience and was formerly at OpenAI and Google Brain. He played a foundational role in shaping the modern LLM landscape, credited with co-inventing InstructGPT, RLHF, ChatGPT, and GPT-4.
His work at TypeSafe AI focuses on rethinking foundational LLM assumptions to prioritize reliability, latency, and cost, to build AI that can be embedded deep inside real systems.