Nemotron 3 Nano: Redefining Efficiency and Openness in AI Models Artificial intelligence is advancing at breakneck speed, but balancing efficiency, accuracy, and scalability remains a challenge. As organizations demand more from AI, especially with the rise of mult... large language models Mixture-of-Experts NeMo Gym Nemotron NVIDIA open-source AI reinforcement learning
Mastering Context Engineering: The Next Frontier for AI Agents AI agents today have outgrown the era of clever prompt crafting. Developers are shifting to context engineering and focusing on curating and managing the precise information (context) provided to AI m... agent autonomy AI agents context engineering large language models memory management prompt engineering tool design
PaTH Attention: The Next Leap in Context-Aware Language Models Large language models have transformed artificial intelligence, powering everything from chatbots to automated code generation. Yet, even the most advanced models often struggle to follow evolving sta... AI research context awareness large language models machine learning PaTH Attention position encoding reasoning transformers
Unlocking Chatbot Insights: Google’s Differentially Private Analytics Framework AI chatbots arenow woven into our daily routines, assisting with everything from productivity to personal planning. For developers, understanding how people use these tools is crucial to improving ser... AI chatbots data analytics differential privacy keyword extraction large language models privacy-preserving responsible AI
ShinkaEvolve: Harnessing Evolutionary Principles for AI Innovation Sakana AI's ShinkaEvolve framework is enabling AI models to discover novel algorithms with unprecedented speed and efficiency. Drawing on the power of large language models (LLMs) and evolutionary str... AI evolution algorithm discovery large language models open source AI sample efficiency scientific innovation ShinkaEvolve
How Automated Prompt Optimization: Efficient Performance at a Fraction of the Cost Enterprises striving to leverage AI for complex tasks often face a trade-off: high accuracy usually comes at a high cost, especially with leading proprietary models. Recent Databricks research reveals... AI benchmarking automation cost reduction Databricks enterprise AI large language models open-source AI prompt optimization
Agentic AI: Charting a New Era Beyond Chatbots The era of generative AI is rapidly evolving, introducing a new paradigm: agentic AI . Unlike conventional chatbots, agentic AI systems aim to autonomously interact with the digital environment handli... agentic AI AI negotiation AI privacy common sense context management embeddings large language models
How MIT’s Adaptive Reasoning Makes AI Smarter and Greener MIT researchers have unveiled a breakthrough method that enables large language models (LLMs) to dynamically manage their computational resources according to the challenge at hand. This leap in effic... adaptive reasoning artificial intelligence energy efficiency large language models machine learning process reward model uncertainty calibration
Dion Optimizer: Transforming Distributed AI Training Efficiency Optimizers such as Adam and AdamW have been essential to training large-scale neural networks. However, as model sizes soar into the trillions of parameters, the need for more efficient training metho... AI optimization deep learning distributed training large language models open source orthonormal updates PyTorch scalability
Whisper Leak: How Encrypted AI Chats Can Still Reveal Your Secrets Many people trust that encrypted messaging with AI chatbots is secure, but recent research from Microsoft challenges this assumption. A newly discovered threat, dubbed Whisper Leak , reveals that even... AI security cybersecurity data privacy encrypted traffic large language models machine learning side-channel attack Whisper Leak
AI Powered Gene Set Analysis: Inside GeneAgent’s Self-Verification Breakthrough GeneAgent is an innovative artificial intelligence agent developed by researchers at the National Institutes of Health (NIH). It is engineered to boost the accuracy of gene set analysis, a critical ta... AI hallucinations AI in genomics biomedical research expert-curated databases gene set analysis large language models self-verifying AI
AlphaEvolve: AI-Powered Mathematical Discovery at Scale Google DeepMind's AlphaEvolve is moving the bar yet again in how artificial intelligence tackles mathematical discovery. Published (preprint) in November 2025 by researchers Bogdan Georgiev, e t al at... AI AlphaProof automated reasoning combinatorics DeepMind evolutionary computation FunSearch large language models machine learning mathematical discovery mathematics optimization Terence Tao