At the Forefront of AI Research: Multimodality, Agents, Open-Source LLM, and Beyond

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Interview with ex-Amazon AI researcher on the next frontier of AI exploration, shadow AI, ethical AI challenges, and what it takes to build robust AI expertise.

I recently came across an article where the author argues that while 2023 was a frenzied year in AI, being a hot topic in corporate boardrooms and in the media and even driving public stock market performance, 2024 will be a year of exploration and discovery.

The idea of training a model to classify images was awe-inspiring, something that seemed unattainable with conventional software. Inspired by this complexity, I delved into AI research to better understand neural networks. I had a strong intuition that if we could solve image classification, it was only a matter of time before we could tackle even more complex data and problems, ultimately building intelligence. I wanted to be part of that journey.


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