Gargi Ghosh
@gargighosh
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Researcher at FAIR (Meta AI)
Bellevue, WA
Joined December 2009
We released new research - Byte Latent Transformer(BLT) BLT encodes bytes into dynamic patches using light-weight local models and processes them with a large latent transformer. Think of it as a transformer sandwich!
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 ➡️
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RT @ClementDelangue: Our science team has started working on fully reproducing and open-sourcing R1 including training data, training scrip…
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RT @ykilcher: 🔥New Video🔥 I delve (ha!) into Byte Latent Transformer: Patches Scale Better Than Tokens where the authors do away with token…
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RT @nrehiew_: Wrote about some of my favourite papers over the past year or so and some research directions that I am excited about in 2025…
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RT @AIatMeta: New research from Meta FAIR — Meta Memory Layers at Scale. This work takes memory layers beyond proof-of-concept, proving the…
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Joint wrk with @mingdachen @LukeZettlemoyer @scottyih , Alicia Sun, Yang Li, Karthik Padthe, @RulinShao
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