News | Joshua Berkowitz

34 Articles

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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

Dec 11, 2025

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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

Dec 8, 2025

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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

Dec 6, 2025

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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

Dec 6, 2025

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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

Dec 6, 2025

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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

Nov 16, 2025

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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

Nov 10, 2025

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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

Nov 7, 2025

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NVFP4 Is Transforming AI Training: 4-Bit Precision Meets High Performance

Efficiently training massive language models is now a central challenge for organizations building advanced AI systems. As models grow larger and datasets expand into the trillions of tokens, the need...

AI training Blackwell architecture generative AI large language models low precision model efficiency NVFP4 quantization

Nov 4, 2025

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MIT Researchers Are Making AI Text Classifiers More Reliable

AI text classifiers are now behind many tools we use daily, from chatbots to content moderation systems. Their accuracy and reliability have become critical but how can you be sure they aren’t easily ...

adversarial testing AI large language models machine learning MIT robustness software tools text classification

Nov 4, 2025

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IBM’s AISteer360 Empowers Safe and Customizable LLM Outputs

As large language models (LLMs) become increasingly sophisticated, so does the challenge of ensuring their outputs remain safe, relevant, and trustworthy especially in high-stakes enterprise environme...

AI safety AISteer360 AI steering enterprise AI generative AI large language models model alignment open source

Oct 28, 2025

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Toucan Dataset: Transforming AI Agents Into Digital Doers

Toucan, a groundbreaking open-source dataset from IBM and the University of Washington is crafted to propel tool-calling capabilities in large language models (LLMs) to new heights. For AI to move bey...

AI agents API integration benchmarking large language models machine learning open source tool-calling Toucan dataset

Oct 25, 2025

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