Mastering JSON Prompting for LLMs
LLMs
LLMs
This post is co-authored with the Biomni group from Stanford. Biomedical researchers spend approximately 90% of their time manually processing massive volumes of scattered information. This is evidenced by Genentech’s challenge of processing 38 million biomedical publications in PubMed, public repositories like the Human Protein Atlas, and their internal repository of hundreds of millions of …
Read more “Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore Gateway”
In the fast-evolving world of agentic development, natural language is becoming the standard for interaction. This shift is deeply connected to the power of operational databases, where a more accurate text-to-SQL capability is a major catalyst for building better, more capable agents. From empowering non-technical users to self-serve data, to accelerating analyst productivity, the ability …
Read more “A new top score: Advancing Text-to-SQL on the BIRD benchmark”
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning tasks. Supervised Reinforcement Learning (SRL) reformulates problem-solving as a sequence of logical “actions,” providing rich learning signals during the training process. This approach enables smaller models to learn …
Read more “Google’s new AI training method helps small models tackle complex reasoning”
Whether your giftee loves bird watching, bird feeding, or just putting a bird on it, these gifts are sure to be a hit.
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests on medical and health data showed it often outperforms classic approaches. The discovery could reshape how scientists make reliable forecasts.
Researchers at Aalto University have demonstrated single-shot tensor computing at the speed of light, a remarkable step towards next-generation artificial general intelligence hardware powered by optical computation rather than electronics.
Workflow is just regular Wan2.2 fp8 6 steps (2 steps high noise, 4 steps low), lighting lora on the high noise expert then interpolated with this wf (I believe it came from the wan2.2 Kijai folder). Initial images all coming from nanobanana. I want to like Qwen but there’s something about the finish that feels …
Read more “I made a full music video with Wan2.2 featuring my AI artist”
As a machine learning engineer, you probably enjoy working on interesting tasks like experimenting with model architectures, fine-tuning hyperparameters, and analyzing results.
For those building with AI, most are in it to change the world — not twiddle their thumbs. So when inspiration strikes, the last thing anyone wants is to spend hours waiting for the latest AI models to download to their development environment. That’s why today we’re announcing a deeper partnership between Hugging Face and …
Read more “Expanding support for AI developers on Hugging Face”