{"id":32878,"date":"2023-07-25T03:00:00","date_gmt":"2023-07-25T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=32878"},"modified":"2023-07-20T18:51:02","modified_gmt":"2023-07-21T01:51:02","slug":"video-highlights-generative-ai-with-large-language-models","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/07\/25\/video-highlights-generative-ai-with-large-language-models\/","title":{"rendered":"Video Highlights: Generative AI with Large Language Models"},"content":{"rendered":"\n

At an unprecedented pace, Large Language Models like GPT-4 are transforming the world in general and the field of data science in particular. This two-hour training video presentation by Jon Krohn<\/a>, Co-Founder and Chief Data Scientist at the machine learning company Nebula<\/a>, introduces deep learning transformer architectures including LLMs. Critically, it also demonstrates the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver, including for dramatically revolutionizing the development of machine learning models and commercially successful data-driven products, accelerating the creative capacities of data scientists and pushing them in the direction of being data product managers. Brought to life via hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries, this training covers the full lifecycle of LLM development, from training to production deployment. Check out Jon’s GitHub repo<\/a> with many valuable supplemental materials. <\/p>\n\n\n\n

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