How would your agent stack change if a policy could train purely from its own outcome-grounded rollouts—no rewards, no demos—yet […]
Category: Machine Learning
Nvidia sells tiny new computer that puts big AI on your desktop
On Tuesday, Nvidia announced it will begin taking orders for the DGX Spark, a $4,000 desktop AI computer that wraps […]
OpenAI wants to stop ChatGPT from validating users’ political views
New paper reveals reducing “bias” means making ChatGPT stop mirroring users’ political language. “ChatGPT shouldn’t have political bias in any […]
NVIDIA Researchers Propose Reinforcement Learning Pretraining (RLP): Reinforcement as a Pretraining Objective for Building Reasoning During Pretraining
NVIDIA AI has introduced Reinforcement Learning Pretraining (RLP), a training objective that injects reinforcement learning into the pretraining stage rather […]
Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends
In this tutorial, we explore Ivy’s remarkable ability to unify machine learning development across frameworks. We begin by writing a […]
SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs
SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent space and when to […]
A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning
In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a […]
Meet OpenTSLM: A Family of Time-Series Language Models (TSLMs) Revolutionizing Medical Time-Series Analysis
A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and […]
Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning
TL;DR: A team of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM performance […]
Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost
TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, […]