AI/ML Techniques

Fast Attention Kernels and Operator Fusion

Overview This post is divided into four parts; they are: • Operator Fusion • FlashAttention-Style Kernels • Paged Attention Kernels…

19 hours ago

Getting Reliable Structured Outputs from LLMs: Validation, Retries and Constrained Decoding

The fixture suite turns the sentences above into fourteen test cases, from a missing required key and a code fence…

19 hours ago

What Are Diffusion Language Models, and Why Are They Different From GPT?

Then you train the neural network to reverse this process, commonly using a mean squared error objective.

3 days ago

Attention Variants and Memory Efficiency

Overview This post is divided into eight parts; they are: • The Checkpoint Fixes the Attention Architecture • A Closer…

4 days ago

Benchmarking Scikit-Ollama vs. Groq-Backed Scikit-LLM: Speed, Cost, and Accuracy

In this article, you will learn how to build a side-by-side benchmark of local and cloud LLM classifiers using Scikit-Ollama…

4 days ago

BAIR at CoRL 2026

The Conference on Robot Learning (CoRL) takes place November 9–12, 2026, in Austin, Texas. BAIR faculty, postdocs and students will…

4 days ago

Floating-Point Precision and Its Effects to Model Inference

Overview This post is divided into five parts; they are: • How Floating-Point Numbers Work • Common Precision Formats •…

6 days ago

DiffusionGemma: Hands-On with Google’s Text Model That Writes All at Once

In this article, you will learn what DiffusionGemma is, how its diffusion-based text generation differs from standard autoregressive language models,…

7 days ago

Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20

Sponsored Content       From November 5 to November 20, 2026 (starting at 8:00 a.m. UTC), 365 Data Science…

7 days ago