Pinterest experiments with new AI-powered personalized boards

Pinterest announced on Monday new AI-powered upgrades to its boards to make them more personalized for users. These features include an AI-driven collage, “Styled for you,” that helps users create outfits from saved fashion Pins, and “Boards made for you,” personalized boards curated with AI.  “Styled for you” collages allow users to combine different clothing…

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Disrupt 2025: Day 1 | TechCrunch

Today, Day 1, TechCrunch Disrupt 2025 goes full throttle — 10,000 founders, investors, and builders flooding Moscone West for a nonstop run of ideas, demos, and deals. The energy is electric, the conversations are everywhere, and the breakthroughs are only just beginning. From the Startup Battlefield to the AI Disruptors 60, from space entrepreneurs to…

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How to Build an Agentic Decision-Tree RAG System with Intelligent Query Routing, Self-Checking, and Iterative Refinement?

In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right knowledge sources, perform self-checks to assess answer quality, and iteratively refine responses for improved accuracy. We implement the entire system using open-source tools like FAISS, SentenceTransformers, and…

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Meet ‘kvcached’: A Machine Learning Library to Enable Virtualized, Elastic KV Cache for LLM Serving on Shared GPUs

Large language model serving often wastes GPU memory because engines pre-reserve large static KV cache regions per model, even when requests are bursty or idle. Meet ‘kvcached‘, a library to enable virtualized, elastic KV cache for LLM serving on shared GPUs. kvcached has been developed by a research from Berkeley’s Sky Computing Lab (University of…

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5 Common LLM Parameters Explained with Examples

Large language models (LLMs) offer several parameters that let you fine-tune their behavior and control how they generate responses. If a model isn’t producing the desired output, the issue often lies in how these parameters are configured. In this tutorial, we’ll explore some of the most commonly used ones — max_completion_tokens, temperature, top_p, presence_penalty, and…

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