Muhammad Z. Ahmed @MoZayed007
Research Engineer @SprintsAi | Interested in R&D, On my journey of 10K hrs, Opinions are my own. linkedin.com/in/mozayed007 Giza, Egypt Joined October 2018-
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Nice
chonky qwen is here❤️
Introducing EmbeddingGemma🎉 🔥With only 308M params, this is the top open model under 500M 🌏Trained on 100+ languages 🪆Flexible embeddings (768 to 128 dims) with Matryoshka 🤗Works with your favorite open tools 🤏Runs with as little as 200MB developers.googleblog.com/en/introducing…
Today, we are releasing FineVision, a huge open-source dataset for training state-of-the-art Vision-Language Models: > 17.3M images > 24.3M samples > 88.9M turns > 9.5B answer tokens Here are my favourite findings:
What if foundation models weren’t just for language & vision—but also for structured data? 📊🤖 Stable AI & Tsinghua University introduce LimiX, the first large structured-data model (LDM), designed to handle any tabular task through query-based conditional prediction. Key…
How small can a BERT get without losing its power? 📱🤯 Meet EI-BERT: an ultra-compact framework for edge NLP that combines token pruning, cross-distillation, and quantization. ✅ Just 1.91 MB — smallest ever for Natural Language Understanding (NLU) tasks! It's already been…
first vision language model built off @OpenAI gpt-oss just dropped! 🔥 InternVL3.5 comes with 32 models 🤯 pre-trained, fine-tuned, aligned in various sizes comes with gpt-oss or Qwen3 for LLM part ⤵️
btw it's possible to use mantissa-free weights. The Chief Scientist of NVIDIA had a keynote with content about it. nvidia.com/en-us/on-deman…
btw it's possible to use mantissa-free weights. The Chief Scientist of NVIDIA had a keynote with content about it. nvidia.com/en-us/on-deman… https://t.co/5wIfpJ6Vk8
Introducing DeepConf: Deep Think with Confidence 🚀 First method to achieve 99.9% on AIME 2025 with open-source models! Using GPT-OSS-120B even without tools, we reached this almost-perfect accuracy while saving up to 85% generated tokens. It also delivers many strong…
Just wrote a post on my understanding of the statistics behind block sparse attention. My take is that it works by using the "learned similarity gap," which creates a simple SNR formula connecting retrieval quality with model architecture. Read more: guangxuanx.com/blog/block-spa…
With just a few lines of code, Feng’s (@fengyao1909) suggested fix—applying importance sampling on the behavior policy—resolved the training instability in my case (oat). I believe the result can generalize to other RL frameworks as well. Great work, Feng!
Learning a specific speaking style and persona for an Alien NPC
Introducing ComputerRL, a framework for autonomous desktop intelligence that enables agents to operate complex digital workspaces skillfully. arxiv.org/abs/2508.14040 ComputerRL features the API-GUI paradigm, which unifies programmatic API calls and direct GUI interaction to…
Excited to release: Jupyter Agent 2 The agent can load data, execute code, plot results inside Jupyter faster than you can scroll! 🤖 Powered by Qwen3-Coder ⚡️ Running on Cerebras ⚙️ Executed in E2B ↕️ Upload your files All videos are in *real time*! hf.co/spaces/lvwerra…
DeepSeek V3.1 beats Claude 4 Opus on Aider Polyglot This makes it the best non-TTC coding model and all of that for ~$1
Here’s what I've received with my student ID : - Cursor pro @cursor_ai - Notion plus @NotionHQ - Perplexity pro @perplexity_ai - A free (.me) domain on @Namecheap - 60$ credits in @v0 - 50% off pro plan @lovable_dev - 50% off the annual plan for @HeyGen_Official
Today we are making URL Context, my favorite Gemini API tool, ready for scaled production use 🔗 The model can now visit webpages, PDF's, images, and more when you provide the direct URL, and you simply pay for the tokens it processes, no additional tool cost!
The open source RL framework Slime(+SGLang) has been validated to train 300+B models with agentic, coding, and reasoning capabilities, efficiently.
The open source RL framework Slime(+SGLang) has been validated to train 300+B models with agentic, coding, and reasoning capabilities, efficiently.

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