📝➡️📺 Edge#234: Inside Meta AI’s Make-A-Video
Was this email forwarded to you? Sign up here 📝➡️📺 Edge#234: Inside Meta AI’s Make-A-VideoThe new model builds on the principles of text-to-image methods to produce visually astonishing videosOn Thursdays, we dive deep into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI to complement the concepts we debate in other editions of our newsletter. 💥 What’s New in AI: Inside Meta AI’s Make-A-Video – The New Super Model that can Generate Videos from Textual InputsText-to-Video (T2V) is considered the next frontier for generative artificial intelligence (AI) models. While the text-to-image (T2I) space is experiencing a revolution with models like DALL-E, Stable Diffusion, and Midjouney, T2V still remains a monumental challenge. Recently, researchers from Meta AI unveiled Make-A-Video, a T2V model able to create realistic short video clips from textual inputs. The T2V space is perfectly positioned to benefit from the advancements in T2I architectures, but there are still monumental challenges ahead. For starters, ... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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⛓ Check the first ML Value Chain Landscape shaped by you!
Wednesday, October 12, 2022
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🤖 Edge#233: Understanding DALL-E 2
Tuesday, October 11, 2022
In this issue: we explain DALL-E 2; we discuss the DALL-E 2 paper; we explore DALL-E Mini (Now Craiyon), the most popular DALL-E implementation on the market. Enjoy the learning! 💡 ML Concept of the
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📝 Guest post: Key Challenges To Automated Data Labeling and How To Overcome Them*
Friday, October 7, 2022
In this guest post, Superb AI presents several common roadblocks that ML teams might face on their journey to adopting automated data processing practices and providing actionable solutions to those
💁🏻♀️💁🏾 Edge#232: DeepMind’s New Method for Discovering when an Agent is Present in a System
Thursday, October 6, 2022
The paper proposes a first method for discovering AI agents in a system based solely on empirical data
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