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machine-learning
185 postsGEMM Performance Measurement Methodology Guidelines
Develop reliable and reproducible methods for measuring GEMM performance.
Understanding Why AI Agents Get Stuck in Loops
Explore the challenges AI agents face in task completion and strategies to overcome them.
Mistral Small 4: One Open-Source Model That Replaces Three
Mistral Small 4 combines three models into one, providing developers with a single API for text, image, and coding tasks. Available under Apache 2.0.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comPoPE: Evaluating Error-Conditioned Self-Repair in Small Code LLMs
PoPE introduces a new standard for evaluating self-repair in small code LLMs, emphasizing rigorous placebo-controlled assessments.
How to Evaluate a Slide-Change Detector Effectively
Steps and key considerations for effectively evaluating slide-change detectors.
Same input yielded different translations each time. The bug was unexpected.
If the same input gives different outputs, check for close scoring ties in translations.
Implementing a Neural Network in SQL: A Novel Approach
The potential for developing neural networks in SQL has been explored. New features in the Xarray-SQL library present significant relational operations.
Agentic Tool-Use Evaluation on Local 35B Model: Insights and Challenges
Insights from an agentic evaluation on a local 35B model, focusing on tool use and performance.
Evaluating AI Engineers in 2026: A 7-Point Framework
A 7-point framework for evaluating AI engineers in 2026. Identifying the right role and key factors is essential.
What’s the Difference Between RAG and Agent Memory?
Explore the key differences between RAG and agent memory: document management and interaction-based learning processes.