The Journey of a Token: What Really Happens Inside a Transformer
Large language models (LLMs) are based on the transformer architecture, a complex deep neural network whose input is a sequence of token embeddings.
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Giving Real Meaning to Veterans Day
Any element of self-sacrifice in war is a betrayal of our soldiers and the American freedom they fight for.
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Healthcare Leaders, NVIDIA CEO Share AI Innovation Across the Industry
AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care. In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took the stage with industry leaders progressing each of these areas to advance biomedical science and meet the global demand for patient care. Healthcare has a more severe labor shortage than any other field — […]
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As AI Grows More Complex, Model Builders Rely on NVIDIA
Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure. Pretraining: The Bedrock of Intelligence AI models are getting more capable thanks to three scaling laws: pretraining, post-training and test-time scaling. Reasoning models, which […]
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GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science.
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A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
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Strengthening cyber resilience as AI capabilities advance
OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.
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A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play
What a simple puzzle game reveals about experimentation, product thinking, and data science The post A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play appeared first on Towards Data Science.
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How I Screwed Up Sales Hiring
I founded Moonshine back in 2022, together with Manjunath, another engineer and researcher. My entire career up until that point had been working on consumer products, so I felt very comfortable with how those are sold, and I thought to myself “How hard can B2B sales be?”. The answer, of course, is very hard! My investors knew that before I did, and pushed me to hire a senior sales person to make up for my lack of experience. […]
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