The team at Inarix is using open source AI models from Meta FAIR to turn smartphones into pocket laboratories for farmers. Building a foundational model on top of DINOv2, the platform enables farmers to assess crop value in real time https://
go.fb.me/dov53u
@aiatmeta
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Inarix Uses Meta AI Models to Transform Smartphones Into Crop Assessment Tools
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Meta FAIR Research: Memory Layers Scaled to Modern AI Models
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New research from Meta FAIR — Meta Memory Layers at Scale. This work takes memory layers beyond proof-of-concept, proving their utility at contemporary scale https://
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Meta Research on Generative Retrieval for Recommendation Systems
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Newly published research for generative retrieval for recommendations from teams at Meta. – Preference Discerning with LLM-Enhanced Generative Retrieval https://
go.fb.me/evvcu8
– Unifying Generative and Dense Retrieval for Sequential Recommendation https://
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Byte Latent Transformer: Patches Match Token Performance with Better Efficiency
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New from Meta FAIR — Byte Latent Transformer: Patches Scale Better Than Tokens introduces BLT, which for the first time, matches tokenization-based LLM performance at scale with significant improvements in inference efficiency & robustness. Paper https://
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Byte Latent Transformer Repository Available on GitHub
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More in the Byte Latent Transformer repo on GitHub
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SemiKong: First Open Source Semiconductor-Focused LLM Model
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SemiKong, a model built with Llama, is the world's first open source semiconductor-focused LLM. With this work @aitomatic is enabling semiconductor companies to build Domain-Expert Agents to capture and scale their deep domain expertise https://
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LinkedIn’s EON-8B Model: 75x More Cost-Effective Than GPT-4
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Through experimentation @LinkedIn found EON-8B, a domain-adapted version of Llama 3.1 8B, to be 75x and 6x cost effective in comparison to GPT-4 and GPT-4o respectively. More on their domain-adapted foundation model work https://
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Research paper details shared with full documentation link
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More details on this research in the full paper https://
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Meta FAIR Introduces Large Concept Models for Language Modeling
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New research from Meta FAIR: Large Concept Models (LCM) is a fundamentally different paradigm for language modeling that decouples reasoning from language representation, inspired by how humans can plan high-level thoughts to communicate. pic.twitter.com/yY8QZXrTts
— AI at Meta (@AIatMeta) 23 décembre 2024New research from Meta FAIR: Large Concept Models (LCM) is a fundamentally different paradigm for language modeling that decouples reasoning from language representation, inspired by how humans can plan high-level thoughts to communicate.
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Meta releases Video Seal model with permissive license and code
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With this release we’re making the Seal model available under a permissive license, alongside a research paper, training code and inference code.