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Feature Engineering with LLM Embeddings: Enhancing Scikit-learn Models
Large language model embeddings, or LLM embeddings, are a powerful approach to capturing semantically rich information in text and utilizing it to leverage other machine learning models โ like those trained using Scikit-learn โ in tasks that require deep contextual understanding of text, such as intent recognition or sentiment analysis.
Published on: July 17, 2025 | Source:
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From Linear Regression to XGBoost: A Side-by-Side Performance Comparison
Regression is undoubtedly one of the most mainstream tasks machine learning models can address.
Published on: July 18, 2025 | Source:The Age of Self-Evolving AI Is Here
How Metaโs latest breakthrough lets models learn, adapt, and improve โ all on their own The post The Age of Self-Evolving AI Is Here appeared first on Towards Data Science.
Published on: July 18, 2025 | Source:The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs
This article explains how to turn messy raw data into useful features that help machine learning models make smarter and more accurate predictions.
Published on: July 16, 2025 | Source:The Future of AI Agent Communication with ACP
A practical guide to connecting and coordinating multiple AIagents. The post The Future of AI Agent Communication with ACP appeared first on Towards Data Science.
Published on: July 15, 2025 | Source:CLIP Model Overviewโ: โUnlocking the Power of Multimodal AI
The magic behind multimodal models unlocked through contrastive learning The post CLIP Model Overview: Unlocking the Power of Multimodal AI appeared first on Towards Data Science.
Published on: July 14, 2025 | Source:Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
A practical approach to instance segmentation using SOLOv2 and TensorFlow The post Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow appeared first on Towards Data Science.
Published on: July 18, 2025 | Source:TDS Authors Can Now Edit Their Published Articles
One of our guiding principles as a publication is that authorsโ work remains theirs. This hasnโt changed since launching our independent site earlier this year; quite the opposite. On a practical level, however, we knew that an important element was missing as long as authors couldnโt directly edit their articles, and members of our community [โฆ] The post TDS Authors Can Now Edit Their Published Articles appeared first...
Published on: July 18, 2025 | Source:Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems
Prompt learning presents a compelling approach for continuous improvement of AI applications The post Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems appeared first on Towards Data Science.
Published on: July 16, 2025 | Source:Midyear 2025 AI Reflection
Impressions on agentic AI progress and the AI-2027 Jobocalypse scenario The post Midyear 2025 AI Reflection appeared first on Towards Data Science.
Published on: July 17, 2025 | Source: