Tag: applications

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Tag: applications

Machine learning infrastructure
Machine learning infrastructure is becoming increasingly critical as organizations seek to unlock the full potential of their data. It provides the backbone for developing and deploying advanced model...

Model-based machine learning (MBML)
Model-based machine learning (MBML) is rapidly transforming how we approach complex data challenges. By focusing on a structured framework, MBML empowers practitioners to create personalized models ta...

ChatGPT can now analyze your GitHub repositories
OpenAI has introduced a GitHub connector for its ChatGPT deep research feature, allowing developers to ask questions about codebases and engineering documents. The connector is now available in beta a...

The Metalayer: Caldera’s Solution to Blockchain Silos
Key InsightsCaldera’s Rollup Engine powers over 100 customizable L2s and L3s, representing nearly 25% of all Ethereum rollups. It supports a range of application-specific blockchains, including Mant...

State of Sei Q1 2025
Key InsightsSei Labs achieved 5.4 gigagas per second, approximately 115,000 TPS, and 700 milliseconds time-to-finality. Meanwhile, Sei Foundation established Sapien Capital, a $65 million venture fund...

Declutter your iPhone: Easy tips to clean up storage space
Are you finally ready for a proper cleaning? Not just swipe a few photos and hope for the best, but actually free up real space? If the answer is yes, you’re in the right place. Below, we’ll break...

State of Rootstock Q1 2025
Key InsightsMerged mining participation reached an all-time high. Rootstock’s merged mining participation averaged 81% in Q1 2025, up from 56.4% in Q4 2024, following the integration of Foundry, the...

LLM leaderboards
LLM leaderboards have emerged as essential tools for evaluating and comparing the performance of large language models in artificial intelligence. These leaderboards provide a structured way to assess...

Top-1 error rate
The Top-1 error rate is a vital measure in the realm of machine learning, particularly for evaluating the performance of classification algorithms. This metric not only reflects the accuracy of models...

Open-source machine learning monitoring (OSMLM)
Open-source machine learning monitoring (OSMLM) plays a crucial role in the smooth and effective operation of machine learning models across various industries. As organizations increasingly rely on M...