#performance-benchmarking

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#multimodal-models #gpt-4o #python-314 #asyncio #free-threaded-build #icl #gemini-15-pro #in-context-learning
fromRealpython
1 day 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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