Machine Learning Street Talk (MLST) #80 AIDAN GOMEZ [CEO Cohere] - Language as Software
6 snips
Nov 15, 2022 
Aidan Gomez, Co-founder and CEO of Cohere, shares insights from his journey in AI and language technology. He discusses how language might revolutionize software development, making it accessible to more people. Aidan reflects on the evolution of transformer models and the challenges they face, emphasizing a future where language-driven interfaces can transform applications. He also explores the potential implications of large language models in enhancing user interactions and fostering innovation in the tech landscape.
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Aidan's Internship Experience
- Aidan Gomez, as an intern, focused on the software side of the Transformer project, building scalable training frameworks.
- His contribution was crucial for the project's success, though he didn't initially realize its impact.
Limitations of Transformers
- Transformers, while powerful, are limited by their finite language representation and reliance on scaling.
- Future architectures should incorporate memory and statefulness for more complex tasks.
Democratizing LLMs
- Make large language models (LLMs) accessible to all developers by simplifying their usage.
- Abstract away complex infrastructure details to encourage broader adoption and innovation.