Discover the #transformative #trends of 2024 that will redefine customer experience, from #AI-driven personalization to #sentiment #analytics and #immersive technologies that create memorable interactions.
MULTIMODAL AI
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JARVIS-1: Open-World Multimodal Agent for Minecraft
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7/ JARVIS-1 – an open-world agent that can perceive multimodal input (visual observations and human instructions), generate sophisticated plans, and perform embodied control, within the open-world Minecraft universe.https://t.co/ukgTY6pNT6
— DAIR.AI (@dair_ai) 19 novembre 20237/ JARVIS-1 – an open-world agent that can perceive multimodal input (visual observations and human instructions), generate sophisticated plans, and perform embodied control, within the open-world Minecraft universe.
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Comparing Humans, GPT-4, and GPT-4V on Reasoning Tasks
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Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks Mitchell et al.: https://
arxiv.org/abs/2311.09247 #ArtificialIntelligence #DeepLearning #GPT -
AI Fine-Tune Creates Stunning 70s-Inspired Thanksgiving Food Photography
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Do you need some thanksgiving meal inspiration? @CarlPeaslee convinced me to make a fine-tune based on some beautiful 70s food photography. I decided to give this a go on @everartai
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LLMs Text Image Processing Embeddings Text-to-Number Conversions
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Explore LLMs in text/image processing via a video on embeddings. Understand text-to-number conversions in AI. Watch for an insightful ML guide:
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LLMs and Embeddings: Mimicking Understanding Without True Comprehension
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LLMs mimic understanding through embeddings, representing text and images as numerical arrays for comparison, not comprehension. This concept is central to image synthesis models like Dalle, revealing how machines interpret our image requests.
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Video Understanding Use Cases in AI and Deep Learning
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A Tour of Understanding Use Cases https://
bit.ly/3FrPnjP #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Self-Supervised Learning for Planning: A Decades-Long Research Journey
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I've been advocating for architectures that can plan using a world models trained Self-Supervised Learning for a very long time.
E.g. my NIPS 2016 keynote (below, 25 minutes in). I've been working on SSL from video since 2014. But, unlike others:
1. I've always said that deep -
Understanding SAM’s AI Technology Through Detailed Video Explanation
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Gain insights into SAM's AI technology by watching a detailed video that concisely explains its complexities. Watch here: https://
youtu.be/bx0He5eE8fE -
SAM’s Billion-Mask Dataset Revolutionizes AI Image Segmentation
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SAM stands out with its "Segment Anything 1 billion" dataset, containing 1.1 billion HD masks from 11 million images—400 times larger than any other, underscoring the value of extensive, quality AI data.