Actually I was thinking about it when typing, and I don't know. I don't want to be that person who goes against the common terminology (like softargmax haha) but it really is a V*L*LM at 3B parameters.
LLMS
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DeepSeek OCR Paper and Multimodal LLM Article Resources
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Link to the paper: https://
github.com/deepseek-ai/De
epSeek-OCR/blob/main/DeepSeek_OCR_paper.pdf
… My "Understanding Multimodal LLMs" article with more info on how images are fed to LLMs, how cross-attention works, etc: https://
magazine.sebastianraschka.com/p/understandin
g-multimodal-llms?utm_source=publication-search
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DeepSeek-OCR Release: Vision Model Capabilities Explained
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DeepSeek finally released a new model and paper. And because this DeepSeek-OCR release is a bit different from what everyone expected, and DeepSeek releases are generally a big deal, I wanted to do a brief explainer of what it is all about. In short, they explore how vision
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Qwen Deep Research can generate web pages and podcasts
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Qwen Deep Research outputs can now be converted into a web page or an audio podcast. Now available on the Qwen Chat! https://t.co/CbbumWgv4C pic.twitter.com/xj5CgtCwEc
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 octobre 2025Qwen Deep Research outputs can now be converted into a web page or an audio podcast. Now available on the Qwen Chat!
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Gemini Mastery and Prompt Engineering Guide
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Learn Gemini like a pro with my step-by-step guide → Beginner to advanced skills
→ Tips & tricks
→ Veo 3 prompts Get it here ↓ https://
godofprompt.ai/gemini-mastery
-guide
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Using ChatGPT Prompts for Crypto Market Analysis
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This ChatGPT Prompt separates the wheat from the chaff in crypto.
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Google launches a new Vibe Coding experience
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Google is about to release a new Vibe Coding experience for AI Studio today. A road from prompt to production is about to get shorter. “Tomorrow is just step 1, the next 2 months are going to be a lot of fun” "New user experiences" is the exact what TestingCatalog is about.
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Meet in the Middle: Running Two LLMs with Parameter Sharing
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This made me think of the "Meet in the Middle" paper https://
x.com/rasbt/status/1
638538494887821313
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When I remember correctly, they run two LLMs in both directions with parameter sharing. So it shouldn't impact training time. Kind of wild but hey why not. -
Reading Papers Thoroughly and Training Base Models
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Thanks for sharing! I need to read the paper in more detail so I don't ask these questions that are maybe already answered in the paper . Regarding your second point, that's a good idea. I think this is especially relevant because many based models (like Qwen3) are trained on
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Automating Software Design with AI Mind Mapping and LLMs
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Architecting With AI: Automating Software Design Using Mind Mapping And LLMs
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu http://
ow.ly/cluV30sQ3qV