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Zhipu AI Releases ‘Glyph’: An AI Framework for Scaling the Context Length through Visual-Text Compression

Can we render long texts as images and use a VLM to achieve 3–4× token compression, preserving accuracy while scaling a 128K context toward 1M-token workloads? A team of researchers from Zhipu AI release Glyph, an AI framework for scaling the context length through visual-text compression. It renders long textual sequences into images and processes…

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Salesforce AI Research Introduces WALT (Web Agents that Learn Tools): Enabling LLM agents to Automatically Discover Reusable Tools from Any Website

A team of Salesforce AI researchers introduced WALT (Web Agents that Learn Tools), a framework that reverse-engineers latent website functionality into reusable invocable tools. It reframes browser automation around callable tools rather than long chains of clicks. Agents then call operations such as search, filter, sort, post_comment, and create_listing. This reduces dependence on large language…

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Pandas: Advanced GroupBy Techniques for Complex Aggregations

Image by Author   #  Introduction   While groupby().sum() and groupby().mean() are fine for quick checks, production-level metrics require more robust solutions. Real-world tables often involve multiple keys, time-series data, weights, and various conditions like promotions, returns, or outliers. This means you frequently need to compute totals and rates, rank items within each segment, roll…

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