Neither the LM Studio nor the Ollama builds support tools, so I've not tried to get that to work
OPEN SOURCE
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Google releases Gemma 3 with 270 million parameters
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270 million (not billion) parameters! https://
huggingface.co/google/gemma-3
-270m
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Google Releases Gemma3 270M Tiny LLM on KerasHub
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Google just dropped a new tiny LLM with outstanding performance — Gemma3 270M. Now available on KerasHub. Try the new presets `gemma3_270m` and `gemma3_instruct_270m`!
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Guardrails AI Launches: Long-time Follower Shares Support
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I have followed @guardrails_ai since they were founded and retweeted their previous launches.
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Meta releases DINOv3 computer vision model under commercial license
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To help foster innovation and collaboration in the computer vision community, we’re releasing DINOv3 under a commercial license with a full suite of pre-trained backbones, adapters, training and evaluation code, and (much!) more. Find them here: https://
github.com/facebookresear
ch/dinov3
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DINOv3 Models Now Available in Hugging Face Transformers
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We're excited to share that we have Day-0 support in Hugging Face Transformers for DINOv3 so people can easily leverage the full family of models. Find out more on @huggingface here:
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DINOv3: State-of-the-Art Self-Supervised Vision Model
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Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense… pic.twitter.com/nwS3zFCaaN
— AI at Meta (@AIatMeta) 14 août 2025Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense
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DINOv3: Self-Supervised Learning for Large-Scale Vision Models
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A few highlights of DINOv3 👇
— AI at Meta (@AIatMeta) 14 août 2025
1️⃣SSL enables 1.7B-image, 7B-param training without labels, supporting annotation-scarce scenarios including satellite imagery
2️⃣Produces excellent high-resolution features and state-of-the art performance on dense prediction tasks
3️⃣Diverse… pic.twitter.com/6glMC1S3KWA few highlights of DINOv3 SSL enables 1.7B-image, 7B-param training without labels, supporting annotation-scarce scenarios including satellite imagery
Produces excellent high-resolution features and state-of-the art performance on dense prediction tasks
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PandasAI: Generative AI Library Adds Natural Language to Pandas
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Python library that adds Generative AI capabilities to Pandas! PandasAI analyzes complex data frames and plot visualizations just by using natural language. 100% Open Source
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100+ Free AI Agents and RAG Tutorials Released
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support https://
github.com/Shubhamsaboo/a
wesome-llm-apps/
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