Advice for AI engineers 💡 A small Visual Language... Model fine-tuned on your custom dataset is as accurate as GPT-5... ... and costs 50 times less. For example, LFM2-VL-3B by ↓show more

Advice for AI engineers 💡 A small Audio Language... Model transcribes audio in real-time on your device, without internet connection or cloud costs. For example, LFM2-Audio-1.5B by ↓show more

Today Meta released "Code Llama", a large language model... fine-tuned for coding tasks. It's publicly available and can be used for commercial use! It outperforms GPT 3.5 and you can even run it locally on your Macbook using Ollama.show more

We released a new model 🎉 !!! Firefly Image... 2 !!!! As a scientist I am in disbelief that such model is possible with a small dataset as we had. We compensated artists for training it. We worked very hard on it. Please, enjoy! #AdobeMaxshow more

Next week we're open sourcing Agent Builder - a... visual n8n-style workflow builder for AI agents. Build AI agent workflows with a visual canvas by connecting , LLMs, logic nodes, and MCPs, then deploy as an API. Stay tuned for this one 👀show more

Fine-tune DeepSeek-OCR on your own language! (100% local) DeepSeek-OCR... is a 3B-parameter vision model that achieves 97% precision while using 10× fewer vision tokens than text-based LLMs. It handles tables, papers, and handwriting without killing your GPU or budget. Why it matters: Most vision models treat documents as massive sequences of tokens, making long-context processing expensive and slow. DeepSeek-OCR uses context optical compression to convert 2D layouts into vision tokens, enabling efficient processing of complex documents. The best part? You can easily fine-tune it for your specific use case on a single GPU. I used Unsloth to run this experiment on Persian text and saw an 88.26% improvement in character error rate. ↳ Base model: 149% character error rate (CER) ↳ Fine-tuned model: 60% CER (57% more accurate) ↳ Training time: 60 steps on a single GPU Persian was just the test case. You can swap in your own dataset for any language, document type, or specific domain you're working with. I've shared the complete guide in the next tweet - all the code, notebooks, and environment setup ready to run with a single click. Everything is 100% open-source!show more

OpenAI is preparing for the launch of Mythos by... testing GPT-5.4-Cyber, a fine-tuned version of GPT-5.4. internet will be so interesting in the next couple of years.show more

GPT-5 is rolling out to Visual Studio Code today!... Starting today, GPT-5 is rolling out to all paid GitHub Copilot plans. GPT-5 is OpenAI's most capable model yet, bringing new advances in reasoning, coding, and chat. Learn more about the GPT-5 model availability:show more

On-chain trading of SPL tokens, such as TRUMP ->... USDC, typically costs $0.1–$0.5 per transaction. XOS is set to reduce on-chain transaction fees by hundreds of times, making frequent trading much more accessible for users. Stay tuned for what’s coming next! #Solana #L2show more

Trained a Jev-style classifier on Hugging Face Jobs for... ~$1.50. It's a 194M GLiNER2 model that suggests task tags for any Hub dataset from its column names and first row, and returns a label with a probability. Zero-shot, GLiNER2's first suggestion matched an owner's tag 10% of the time. After 17 minutes of fine-tuning: 69%. The fine-tuned model runs on a free CPU in about a second. Owners' tags are noisy, so some "wrong" answers are tags the owner left out. The recipe is open: one hf jobs command trains the same kind of model on your own labels. The README example (book titles) runs in ~2 minutes for about $0.02. Demo: Recipe:show more

Pika H3 Flex is changing the AI video game.... Faster than real-time generation, open model weights, multi-reference control, precision editing, and 4K output. 15-second videos in as little as 7 seconds, with pricing starting at just $0.01 per second. What makes it even more interesting? Strong visual quality with only six denoising steps. Less waiting, lower costs, and more room to experiment. This is a serious step forward for AI creators. Pikashow more

Quick demo of LFM 2.5 VL 1.6B model by... Liquid AI that I recently added to Locally AI - Local AI Chat Running locally on iPhone 17 Pro at ~90tk/s with MLX Small vision-language models are improving fastshow more

GPT-4o level multimodal LLM running on your phone. MiniCPM-V... 4.5 outperforms GPT-4o, Gemini-2.0 Pro, and Qwen2.5-VL 72B on vision and language AI tasks. It can even understand videos and perform OCR in 30+ languages. And it's 100% Opensource.show more

Went down like a sack of spuds and dropped... her arse on the way down🤣🤣🤣 Setting a fine example for her two young boys as well. Real role model shit right there 🤣show more

Let's get your creative journey started by logging in... and earning your credits on Wan2.1 🎨💡Stay tuned for more guides from us!show more

CitySpeak is like 50 foreign languages mashed together, no... less. Making Deckard 50 times as based.show more

Qwen has just released a model on par with... GPT-4o... And you can run it locally easily 🤯 Yep. GPT-4o level AI running offline on a laptop. - Fully open source - Only 3B active parameters - 262k context length natively Quick steps to run it on your machine and details belowshow more