#performance-benchmarking

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Software development
fromPybites
3 days ago

How To Automate Python Performance Benchmarking In Your CI/CD Pipeline - Pybites

Treat performance as a quality gate: use deterministic benchmarks, enforce PR performance limits, and add AI-aware guardrails to prevent regressions.
fromThe Drum
6 days ago

Back to basics: how can marketers keep generating results in a recession?

To achieve ambitious targets during continued economic uncertainty, marketing strategies must evolve and adapt. This begs the question: how do we need to adjust our plans to better serve our consumer's needs? Let's first hone in on the biggest challenges we're currently facing as an industry. Understanding your customer and their needs Consumer shopping behavior is vastly different now than in 2019 and, while looking back on past data is still essential, we can't use it as robustly to predict trends.
Marketing
Marketing
fromForbes
6 days ago

5 High-Impact Marketing Audits To Improve Your Brand's Performance

Regular objective marketing audits reveal root-system issues, benchmark performance, and align strategy to accelerate sustainable growth and improve marketing effectiveness.
React
fromLogRocket Blog
3 weeks ago

Comparing the best React animation libraries for 2026 - LogRocket Blog

Choose animation libraries balancing developer experience, features, performance, and bundle size; consider CSS-first approaches for smaller bundles and production alternatives.
fromRealpython
3 months ago

Episode #271: Benchmarking Python 3.14 & Enabling Asyncio to Scale - The Real Python Podcast

How does Python 3.14 perform under a few hand-crafted benchmarks? Does the performance of asyncio scale on the free-threaded build? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects. At the top of the show, we have a mountain of release news and Python Enhancement Proposals to cover. Then, we dig into a couple of articles covering the performance of Python 3.14.
Python
Data science
fromHackernoon
1 year ago

The Science Behind Many-Shot Learning: Testing AI Across 10 Different Vision Domains | HackerNoon

Increasing the number of demonstrating examples significantly enhances the performance of multimodal foundation models like GPT-4o and Gemini 1.5 Pro.
Online learning
fromHackernoon
1 year ago

Why Thousands of Examples Beat Dozens Every Time | HackerNoon

Scaling ICL from few-shot to many-shot improves performance significantly in multimodal foundation models.
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