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Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most...
arXiv:2606.27443v2 Announce Type: replace-cross Abstract: Personality prompting shapes how large language models communicate, yet whether these behavioral shifts affect objective...
In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running Ollama models to perform zero-shot...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in...
OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner to help its other models...
In this tutorial, we implement a Gin Config–controlled PyTorch experiment pipeline in which the executable training code remains stable. At...
In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running Ollama models to perform zero-shot...
arXiv:2603.04419v2 Announce Type: replace Abstract: We characterize the phenomenon of context-dependent affordance computation in vision-language models (VLMs). Our primary study...
The machine that could change the world will be housed in a room that looks like a data center crossed...
This AI Paper Introduces Group Think: A Token-Level Multi-Agent Reasoning Paradigm for Faster and Collaborative LLM Inference
This AI Paper Introduces GRIT: A Method for Teaching MLLMs to Reason with Images by Interleaving Text and Visual Grounding
This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks
This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference
This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving
Thinking Machines Launches Tinker: A Low-Level Training API that Abstracts Distributed LLM Fine-Tuning without Hiding the Knobs
Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance
These startups are chasing the next big thing in LLMs
