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://
go.fb.me/w23lmz
MACHINE LEARNING
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Byte Latent Transformer: Patches Match Token Performance with Better Efficiency
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AI Reshaping Industries and Creating Tomorrow’s Job Market
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How AI Is Reshaping Industries And Creating Tomorrow’s Job Market
#AI #AIio #BigData #ML #NLU #Futureofwork @gp_pulipaka @stratorob @PetiotEric @EvanKirstel @Fgraillot @HaroldSinnott @HeinzVHoenen @helene_wpli http://
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2025 AI Engineering Reading List: Weekly Papers
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Presenting: The 2025 AI Engineering Reading List https://
latent.space/p/2025-papers 1 paper/blog/model family per week for every week of 2025, for you to run paper clubs or binge over the break. -
Why models trained on ChatGPT don’t all excel
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If DeepSeek-V3 is good because it trained on ChatGPT (which of course it did), why isn’t Grok amazing? Why isn’t *every* model amazing? Why spend 95% of compute pre-training a new model (which equals 405B on Pile-test btw) if the secret sauce is ~fOrBiDdEn~DaTa~ in the last 5%?
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25 Essential Mathematical Definitions for Data Science
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The 25 most important mathematical definitions in data science, v/
@DailyDoseOfDS_
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Tokenizer Implementation Limitations in Educational Materials
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Thanks for sharing those, it's really nice seeing the chapters through the lens of a reader! Regarding the chapter 2 nit. It’s more of a shortcoming of the tokenizer implementation (it’s a very simple one for educational purposes). The reason why I copied it as is from the
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NeuroAI: The Intersection of Neuroscience and Artificial Intelligence
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NeuroAI: A field born from the symbiosis between neuroscience, AI
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
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Docling: Advanced Document Parsing Beyond Excel Files
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Currently this one handles excel files. But docling is capable of parsing complex docs that include tables, charts, figures etc. It has dedicated models for layout detection and extracting tabular data.
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Alec Radford’s Genius-Level Contributions to AI Field
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it is hard to overstate how much alec radford has contributed to the field, and how much of everyone's current progress traces back to his work. i believe he is a genius at the level of einstein, and also he is one of my favorite people ever–hard to imagine a nicer, warmer, or
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Building Talented Research Teams Drives AI Progress Forward
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it's also extremely hard to rally a big talented research team to charge a new hill in the fog together. this is key to driving progress forward. thanks to ilya, jakub, bob, mark, and many other exceptional research leaders who got us here.