Generative AI: From Simple Instructions to Multimodality

Join us to explore instruction tuning, reinforcement learning, and multimodality while discussing models from FLAN to GPT-4 to Gemini!

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In this event hosted by Grammarly, Oleksandr will discuss the complexities of the field, showcasing key trends, sophisticated approaches, and the current progress that has shaped the landscape of AI.

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He will also delve into various aspects, shedding light on the state of NLP pre-2021, the intricacies of instruction tuning, the fascinating world of reinforcement learning from human feedback, the emergence of multimodal models, and insightful conclusions drawn from these advancements.

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A must-attend for researchers, ML engineers, and anyone with a keen interest or knowledge in the realm of Artificial Intelligence!

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About the Speaker:

Oleksandr Skurzhanskyi is an Applied Research Scientist at Grammarly, leading a project that has helped grow the capabilities of Grammarly’s writing assistance to go way beyond grammar. He has seven years of experience in the machine learning field and is interested in such topics as self-supervised learning, non-autoregressive text generation, and multimodal learning.

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Disclaimer:

By taking part in this event you grant the event organizers and partners full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for fundraising, publicity or other purposes to help achieve the organizers’ aims. This might include (but is not limited to), the right to use them in their printed and online publicity, social media, press releases and funding applications. The unauthorized reproduction, distribution or exhibition of the content from the events is prohibited. You agree to abstain from bringing weapons, pets and/or animals to the venue. You agree to adhere to the rules, policies, and security protocols in the facilities. Date and times of the event are subject to change without prior notice.

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