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Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT

Extracting structured data from documents like invoices, receipts, and forms is a persistent business challenge. Variations in format, layout, language, and vendor make standardization difficult, and manual data entry is slow, error-prone, and unscalable. Traditional optical character recognition (OCR) and rule-based systems often fall short in handling this complexity. For instance, a regional bank might …

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Running high-scale reinforcement learning (RL) for LLMs on GKE

As Large Language Models (LLMs) evolve, Reinforcement Learning (RL) is becoming the crucial technique for aligning powerful models with human preferences and complex task objectives. However, enterprises that need to implement and scale RL for LLMs are facing infrastructure challenges. The primary hurdles include the memory contention from concurrently hosting multiple large models (such as …

Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively

Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture also allows developers to extend that support to thousands more. Through a feature called zero-shot in-context learning, users can provide a few paired examples of audio and …

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I am currently training a realism LoRA for Qwen Image and really like the results – Would appreciate people’s opinions

So I’ve been really doubling down on LoRA training lately, I find it fascinating and I’m currently training a realism LoRA for Qwen Image and I’m looking for some feedback. Happy to hear any feedback you might have *Consistent characters that appear in this gallery are generated with a character LoRA in the mix. submitted …

6 proven lessons from the AI projects that broke before they scaled

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain domains, there’s little tolerance for iteration, especially in something like life sciences, when the AI application is facilitating new treatments to markets …

Qwen Edit Upscale LoRA

https://huggingface.co/vafipas663/Qwen-Edit-2509-Upscale-LoRA Long story short, I was waiting for someone to make a proper upscaler, because Magnific sucks in 2025; SUPIR was the worst invention ever; Flux is wonky, and Wan takes too much effort for me. I was looking for something that would give me crisp results, while preserving the image structure. Since nobody’s done …

What could possibly go wrong if an enterprise replaces all its engineers with AI?

AI coding, vibe coding and agentic swarm have made a dramatic and astonishing recent market entrance, with the AI Code Tools market valued at $4.8 billion and expected to grow at a 23% annual rate.  Enterprises are grappling with AI coding agents and what do about expensive human coders.  They don’t lack for advice.  OpenAI’s …