The greatest contribution of human language is bootstrapping language model training
→ View original post on X — @_jasonwei, 2025-06-27 17:02 UTC
MACHINE LEARNING
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Meta FAIR Introduces Seamless Interaction for Interpersonal Dynamics Modeling
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🚀New from Meta FAIR: today we’re introducing Seamless Interaction, a research project dedicated to modeling interpersonal dynamics.
— AI at Meta (@AIatMeta) 27 juin 2025
The project features a family of audiovisual behavioral models, developed in collaboration with Meta’s Codec Avatars lab + Core AI lab, that… pic.twitter.com/vptAnJwkoVNew from Meta FAIR: today we’re introducing Seamless Interaction, a research project dedicated to modeling interpersonal dynamics. The project features a family of audiovisual behavioral models, developed in collaboration with Meta’s Codec Avatars lab + Core AI lab, that
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Meta Releases Seamless Interaction Dataset with 4000+ Hours Video
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We’re also publicly releasing the Seamless Interaction Dataset, with 4,000+ participants and 4,000+ hours of interactions, making it the largest known video dataset of its kind.
— AI at Meta (@AIatMeta) 27 juin 2025
This dataset enables our audiovisual behavioral models to understand and generate human-like social… pic.twitter.com/TZjLC5jZ7rWe’re also publicly releasing the Seamless Interaction Dataset, with 4,000+ participants and 4,000+ hours of interactions, making it the largest known video dataset of its kind. This dataset enables our audiovisual behavioral models to understand and generate human-like social
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Vision Language Action Models: LeRobot Policies Demo Overview
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📢Vision Language Action Models (VLA) Overview: LeRobot Policies Demo
— Satya Mallick (@LearnOpenCV) 27 juin 2025
Generative AI is revolutionizing robotics, LLMs and VLMs now power humanoid robots to truly “perceive, reason, and act” without painstaking handcrafted policies. Vision–Language Agents (VLA) merge visual and… pic.twitter.com/Vv2ESnQfcdVision Language Action Models (VLA) Overview: LeRobot Policies Demo Generative AI is revolutionizing robotics, LLMs and VLMs now power humanoid robots to truly “perceive, reason, and act” without painstaking handcrafted policies. Vision–Language Agents (VLA) merge visual and
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Music Recommendation Systems Benefits and Applications
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Indeed, great for music recommendation systems!
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Yandex Releases Yambda 5B: Largest Open-Source Multi-Modal Dataset
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Incredible!!! An open-source, large-scale multi-modal dataset for ranking and retrieval. Yandex just released Yambda 5B, the largest open-source dataset with 4.79B anonymized user-item interactions. This is a major milestone for recommender system research.
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4.79B User-Music Interactions Dataset with Temporal Ordering
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Key Features: – 4.79B user-music interactions (listens, likes, dislikes, unlikes, undislikes)
– Timestamps with global temporal ordering
– Organic and recommendation-driven interactions Read the Paper: https://
arxiv.org/abs/2505.22238 Check out the dataset: https://
bit.ly/4k6bLAR -
Master AI Fluency: Understanding Capabilities and Foundations
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4. Make AI Your Friend, Not a Stranger Understanding AI is now as fundamental as knowing Excel used to be. But this isn't just about tools. Master the ABCs of AI Fluency: A = Awareness: What it can and cannot do
B = Building blocks: Basics of neural networks, LLMs, and -
DDIM: Faster Diffusion Model for Efficient Image Generation
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📢DDIM: The Faster, Improved Version of DDPM for Efficient AI Image Generation
— Satya Mallick (@LearnOpenCV) 27 juin 2025
From noisy pixels to stunning visuals, diffusion models like Stable Diffusion use DDPM’s noise-add/reverse magic to generate images, but it can be slow. Enter DDIM: same top-tier quality,… pic.twitter.com/N6dPvNw0WLDDIM: The Faster, Improved Version of DDPM for Efficient AI Image Generation
From noisy pixels to stunning visuals, diffusion models like Stable Diffusion use DDPM’s noise-add/reverse magic to generate images, but it can be slow. Enter DDIM: same top-tier quality, -
MLRun and NVIDIA NIM enable scalable observable AI deployment
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Learn how Iguazio’s MLRun and NVIDIA NIM combine to enable scalable, observable AI by combining optimized inference with operational oversight. https://
nvda.ws/43YI3Yy > Iguazio’s MLRun automates and orchestrates the deployment and management of NVIDIA NIM microservices