GPT from scratch, Hugging Face, AGI, and open source AI – Nazneen Rajani | The Prompt #028
Nazneen is a Research Lead at HuggingFace, a startup with a mission to democratize ML, leading the LLMs trained using RLHF direction. Before HF, she worked at Salesforce Research where she led a team of researchers focused on building robust natural language generation systems based on LLMs. Her expertise lies in training and evaluating LLMs, focusing on interpretability, robustness, factuality, and commonsense reasoning. She completed her Ph.D. in CS at UT-Austin. Nazneen has over 50 papers published at ACL, EMNLP, NAACL, NeurIPs, and ICLR and has her research covered by Quanta magazine, VentureBeat, SiliconAngle, ZDNet, and Datanami.
In this episode, expect to learn why open sourcing AI might be the future, what GPT actually stands for, how text tokenization actually works, how long it will take to get to AGI, the challenge with building effective AI models, advice for people getting into AI, and much more...
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