Blog Posts | Joshua Berkowitz

131 Articles

machine learning ×

Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training

Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu...

computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods

Sep 20, 2025

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Microsoft TimeCraft For Synthetic Time-Series Data Generation

Time-series data is the backbone of critical decision-making in sectors such as healthcare, finance, and transportation. However, generating realistic and adaptable synthetic time-series data is a per...

AI frameworks data generation industry applications machine learning open source synthetic data time series

Sep 20, 2025

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Unlocking New AI Potential with Deep Researcher and Test-Time Diffusion

Cutting-edge artificial intelligence (AI) models excel at many tasks, but their performance often depends on how well they can adapt to new, unseen data. Deep Researcher with Test-Time Diffusion is a ...

adaptation AI research deep learning generalization machine learning reasoning test-time diffusion

Sep 20, 2025

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Break the Cycle: How to Build AI POCs That Actually Ship

Despite the hype, most AI proof of concepts (POCs) never make it past the demo stage. The issue isn’t just technical, teams often design POCs to impress executives, not to survive under real-world con...

AI POC cost management engineering best practices machine learning production readiness remocal workflow user-centered design

Sep 20, 2025

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Scaling Laws Unveiled: The Mathematical Blueprint Behind Smarter, Cheaper AI Models

Training a state-of-the-art language model can cost tens of millions of dollars and months of computation time, not to mention the expertise needed for development. Yet until now, researchers have bee...

AI Chinchilla deep learning GPT-3 language models machine learning neural networks optimization principal component analysis scaling laws statistical methodology

Sep 20, 2025

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Papers

How Reliable Are LLM Judges? Lessons from DataRobot's Evaluation Framework

Relying on automated judges powered by Large Language Models (LLMs) to assess AI output may seem efficient, but it comes with hidden risks. LLM judges can be impressively confident even when they're w...

AI benchmarking AI trust LLM evaluation machine learning open-source tools prompt engineering RAG systems

Sep 20, 2025

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How AI Is Revolutionizing Fluid Dynamics and Mathematical Discovery

Researchers at Google DeepMind are using AI to identify new solutions to challenging fluid dynamics equations. Their achievement offers fresh hope for solving some of the most persistent challenges in...

AI research fluid dynamics machine learning mathematics Navier-Stokes PINNs scientific discovery singularities

Sep 19, 2025

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Hugging Face’s FinePDFs Dataset For AI Training

AI research has long relied on web-scraped content, but Hugging Face’s FinePDFs dataset is set to change the landscape. By sourcing over 475 million documents directly from PDFs, often considered too ...

AI data engineering datasets Hugging Face language models machine learning open source PDF

Sep 19, 2025

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Local AI Models Are Assiting Software Development in VS Code

AI is no longer just a futuristic add-on for software development, it is rapidly becoming a core part of the developer workflow. The latest evolution? Local AI models that run directly on your own dev...

AI development code assistants developer tools local models machine learning privacy software engineering

Sep 19, 2025

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MIT is Making Large Language Model Training Affordable: Insights from AI Scaling Laws

Training large language models (LLMs) requires immense computational resources and significant financial investment. For many AI researchers and organizations, predicting model performance while keepi...

AI efficiency AI research budget optimization LLM training machine learning model evaluation scaling laws

Sep 19, 2025

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Lilly’s TuneLab Is Democratizing AI for Drug Discovery

The pharmaceutical industry is experiencing a transformative shift as Eli Lilly introduces TuneLab , a sophisticated artificial intelligence platform designed to accelerate and democratize drug discov...

AI drug discovery biotechnology Eli Lilly healthcare innovation machine learning pharmaceuticals research partnerships

Sep 16, 2025

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AI Is Updating Scientific Software Development

Traditionally, developing custom empirical software for each research challenge has been a major bottleneck, consuming valuable time and slowing scientific progress. Google Research is leveraging an ...

AI automation computational science empirical software large language models machine learning research tools scientific discovery

Sep 16, 2025

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