Imagine you’re watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer. You, as an observer, know that the treat is now in the drawer, and you also …
Read more “Mind readers: How large language models encode theory-of-mind”
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When large language models first came out, most of us were just thinking about what they could do, what problems they could solve, and how far they might go.
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 …
Read more “Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT”
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 …
Read more “Running high-scale reinforcement learning (RL) for LLMs on GKE”
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 …
I’m at the Bluetooth speaker. I’m at the power bank. I’m at the combination Bluetooth speaker and power bank.
Robots powered by popular artificial intelligence models are currently unsafe for general purpose real-world use, according to new research from King’s College London and Carnegie Mellon University.
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 …
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 …
Read more “6 proven lessons from the AI projects that broke before they scaled”