IT talk "AI Thinking in a Nutshell"

At the meeting, we'll go through the history of generative text models up to the recently released GPT-4, exploring the Reinforcement Learning from Human Feedback (RLHF) approach for training, which helps ChatGPT to understand, reason, and generate text in a human-like manner. In addition, you will learn about the Chain of Thoughts concept and langchain library, which provides the model access to the outside world and the ability to think. Finally, you'll see actual use cases for using such models and how the DataArt AI Platform integrates them.

Date/time: April 20, 16:00 (UTC+3)

Duration: ~1-1.5 hours.

Language of the meeting: English

Experts:

Eugene Kolker - PhD; EVP, Global Services; Director, AI & ML COE; Director, Client Success Accelerator at DataArt

Dmitry Baykov - Team/Tech Data Science Lead at DataArt. More than 6 years of professional expertise in IT. He started his career in engineering and for the last three years has took part in more than 10 AI/ML Finance, Healthcare, and Insurance projects. During the last two years he has led the development of an internal product, the DataArt AI Platform. His main interests are Generative AI, AutoML, NLP, and Product Management.

Mykola Dudnyk - AI and ML expert at DataArt Kharkiv. He has more than 3 years of experience. Most of Mykola’s projects was about automation of ML processes, NLP systems and a bit of Computer Vision. He mainly works with AI and ML technologies in the Healthcare and Financial domains.
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