Blog Posts | Joshua Berkowitz

113 Articles

machine learning ×

DeepSeek-R1 Is Redefining AI Reasoning Through Reinforcement Learning

Reasoning underpins complex tasks like solving math problems, writing code, and making logical deductions. While recent LLMs have made headlines with their reasoning skills, these advances typically d...

AI DeepSeek-R1 language models machine learning reasoning reinforcement learning safety STEM

Sep 26, 2025

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Few-Shot Learning Revolutionizes Time-Series Forecasting: Inside Google's TimesFM-ICF

Google’s latest AI breakthrough in time-series forecasting proposes a system that instantly adapts to new challenges with only a handful of examples provided. For industries such as retail, energy, an...

AI research business analytics few-shot learning forecasting foundation models machine learning time-series transformers

Sep 25, 2025

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WisdomAI’s Autonomous Agents Are Transforming Data Analytics

WisdomAI’s autonomous AI agents are offering businesses a revolutionary way to analyze their data and gain strategic advantages using conversational AI. The move from data knowledge workers to AI powe...

AI agents automation business intelligence data analytics data integration enterprise technology machine learning

Sep 23, 2025

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PosterGen: Academic Poster Creation with Multi-Agent AI

Creating compelling conference posters is a challenge for any researcher. You have to accurately and compelling decide which content and how it will be presented. After months of rigorous research, wr...

academic tools artificial intelligence design automation machine learning multi-agent systems poster design research tools scientific communication

Sep 22, 2025

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Github Repos

MIT-IBM Watson Lab: How AI Scaling Laws Are Transforming LLM Training Efficiency

Training large language models (LLMs) is an expensive endeavor, driving the need for strategies that maximize performance while minimizing costs. Researchers at the MIT-IBM Watson AI Lab have develope...

AI cost efficiency LLM training machine learning model development research scaling laws

Sep 22, 2025

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Speculative Cascades: The Hybrid Solution Driving Smarter, Faster LLM Inference

As user expectations and AI adoption soar, delivering fast, cost-effective, and high-quality results from LLMs has become a pressing goal for developers and organizations alike. Speculative cascades a...

AI efficiency AI optimization cascades language models LLM inference machine learning speculative decoding

Sep 21, 2025

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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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Papers

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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