The agent stack (the new default): Reflection → the model critiques and fixes its own output Tool Use → APIs, code, search, databases; the model leverages the whole digital world Planning → break a goal into steps; execute and adapt Multi-Agent → specialists (researcher,
MACHINE LEARNING
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RoPE Encoding: Technical Discussion on Language Models
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these models don’t use RoPE but you’re probably directionally correct
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Qwen3-VL 235B Vision-LLM Monster Released Today
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Plus notes on the 5 (!) new things Qwen released today, the most exciting of which is the first in their Qwen3-VL vision-LLM series, a 235B 471 GB Apache 2 licensed monster!
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Matrix Multiplication Becomes Multi-Trillion Dollar Business
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Matrix multiplication is now a multi-trillion dollar business.
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Hyperparameter tuning: logarithmic scaling for better sweep design
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Sometimes I see papers with hyperparameter sweeps over 0.001, 0.003, 0.006, 0.01, etc. Many hyperparameters are better expressed in negative integral log2. Small values like learning rates directly, and values close to 1 like EMA factors and TD lambda / gamma with 1-2**val. It
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Longevity Tech and AI Innovation Continue to Advance
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Rise of longevity tech and AI marches on
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus -
Nvidia Nemotron’s Superior Performance Influences Llama Model Improvements
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Historically Nvidia’s Llama Nemotron models always outperformed the official Llama variants, and I am sure the llama team took a look at what they did to improve their own pipeline. I am sure they benefited from this, and this wouldn’t have been possible without open source.
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Community Fine-tuning Benefits for Model Developers
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I think finetuned models can also be a benefit for the developers. Ie developers may release a base model, and the community applies continued pretraining and finetuning to make a Math, Code, Instruct, Reasoning variant etc so the developers don’t have to.
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LoRA and Quantization Methods Origins in Open Source Research
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Hm, I am pretty sure that LoRA, Adapters, etc all came from open source research communities. Also many (post)quantization methods.
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Scaling IIoT, Machine Learning and GenAI in Smart Manufacturing
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Many smart manufacturing initiatives stall at the pilot stage. This article explores strategies in scaling #IIoT, #ML, and #GenAI deployments across operations.
Read more: https://
buff.ly/3Og766Y #snowflake_iiot #SmartFactories @Fabot70 @lucianilie15 via @fogoros