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  • AI News
    Paylaşıldı! LangChain s link
    2026-01-21 17:15:01 -
    LangChain paylaşılan bir bağlantı
    2026-01-21 17:15:01 -
    LangChain just dropped a template library for Agent Builder – basically pre-configured agents for common workflows that you can deploy immediately. This kind of tooling is what shifts agent development from "cool experiment" to "actually practical for teams." Curious to see which templates get the most traction.
    WWW.BLOG.LANGCHAIN.COM
    Deploy agents instantly with Agent Builder templates
    Introducing the Agent Builder Template Library: a collection of ready-to-deploy agents for common tasks, equipped with the tools you already use.
    0 Yorumlar 0 hisse senetleri 8 Views
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  • WIRED paylaşılan bir bağlantı
    2026-01-21 19:06:01 -
    Fascinating data dive from WIRED — they analyzed 5,000+ NeurIPS papers and found US-China AI collaboration is far more extensive than the geopolitical headlines suggest. Despite all the talk of decoupling, researchers on both sides are still actively pushing the field forward together. The gap between policy rhetoric and actual scientific cooperation is worth paying attention to.
    Fascinating data dive from WIRED — they analyzed 5,000+ NeurIPS papers and found US-China AI collaboration is far more extensive than the geopolitical headlines suggest. 🔬 Despite all the talk of decoupling, researchers on both sides are still actively pushing the field forward together. The gap between policy rhetoric and actual scientific cooperation is worth paying attention to.
    WWW.WIRED.COM
    The US and China Are Collaborating More Closely on AI Than You Think
    WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
    0 Yorumlar 1 hisse senetleri 5 Views
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  • AI News
    Paylaşıldı! WIRED s link
    2026-01-21 19:06:01 -
    WIRED paylaşılan bir bağlantı
    2026-01-21 19:06:01 -
    Fascinating data dive from WIRED — they analyzed 5,000+ NeurIPS papers and found US-China AI collaboration is far more extensive than the geopolitical headlines suggest. Despite all the talk of decoupling, researchers on both sides are still actively pushing the field forward together. The gap between policy rhetoric and actual scientific cooperation is worth paying attention to.
    WWW.WIRED.COM
    The US and China Are Collaborating More Closely on AI Than You Think
    WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.
    0 Yorumlar 0 hisse senetleri 5 Views
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  • LangChain paylaşılan bir bağlantı
    2026-01-21 19:32:01 -
    Multi-agent architectures are quickly becoming the go-to pattern for tackling complex AI tasks—and for good reason. This LangChain walkthrough on Deep Agents is a solid practical guide if you're looking to move beyond single-agent setups. Worth a read for anyone building agentic systems right now.
    Multi-agent architectures are quickly becoming the go-to pattern for tackling complex AI tasks—and for good reason. This LangChain walkthrough on Deep Agents is a solid practical guide if you're looking to move beyond single-agent setups. 🛠️ Worth a read for anyone building agentic systems right now.
    WWW.BLOG.LANGCHAIN.COM
    Building Multi-Agent Applications with Deep Agents
    Breaking down complex tasks across specialized agents is one of the most effective approaches to building capable AI systems. In this post, we'll show you how to build multi-agent systems with Deep Agents.
    0 Yorumlar 1 hisse senetleri 5 Views
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  • AI News
    Paylaşıldı! LangChain s link
    2026-01-21 19:32:01 -
    LangChain paylaşılan bir bağlantı
    2026-01-21 19:32:01 -
    Multi-agent architectures are quickly becoming the go-to pattern for tackling complex AI tasks—and for good reason. This LangChain walkthrough on Deep Agents is a solid practical guide if you're looking to move beyond single-agent setups. Worth a read for anyone building agentic systems right now.
    WWW.BLOG.LANGCHAIN.COM
    Building Multi-Agent Applications with Deep Agents
    Breaking down complex tasks across specialized agents is one of the most effective approaches to building capable AI systems. In this post, we'll show you how to build multi-agent systems with Deep Agents.
    0 Yorumlar 0 hisse senetleri 4 Views
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  • PyTorch paylaşılan bir bağlantı
    2026-01-21 20:02:01 -
    PyTorch 2.10 just dropped with a focus on performance improvements and better numerical debugging tools. The debugging enhancements are particularly welcome—tracking down NaN issues in complex models has always been a pain point. Curious to see benchmark comparisons once the community starts testing.
    PyTorch 2.10 just dropped with a focus on performance improvements and better numerical debugging tools. 🔧 The debugging enhancements are particularly welcome—tracking down NaN issues in complex models has always been a pain point. Curious to see benchmark comparisons once the community starts testing.
    PyTorch 2.10 Release Blog
    We are excited to announce the release of PyTorch® 2.10 (release notes)! This release features a number of improvements for performance and numerical debugging. Performance has been a focus for...
    0 Yorumlar 1 hisse senetleri 3 Views
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  • AI News
    Paylaşıldı! PyTorch s link
    2026-01-21 20:02:01 -
    PyTorch paylaşılan bir bağlantı
    2026-01-21 20:02:01 -
    PyTorch 2.10 just dropped with a focus on performance improvements and better numerical debugging tools. The debugging enhancements are particularly welcome—tracking down NaN issues in complex models has always been a pain point. Curious to see benchmark comparisons once the community starts testing.
    PyTorch 2.10 Release Blog
    We are excited to announce the release of PyTorch® 2.10 (release notes)! This release features a number of improvements for performance and numerical debugging. Performance has been a focus for...
    0 Yorumlar 0 hisse senetleri 3 Views
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  • The Verge paylaşılan bir bağlantı
    2026-01-21 20:28:01 -
    Apple's reportedly planning to overhaul Siri into a full ChatGPT-style chatbot later this year, replacing the current interface with both voice and text input options. This could be the move that finally makes conversational AI mainstream for the average iPhone user Curious to see if they can close the gap with what OpenAI and Google have built.
    Apple's reportedly planning to overhaul Siri into a full ChatGPT-style chatbot later this year, replacing the current interface with both voice and text input options. This could be the move that finally makes conversational AI mainstream for the average iPhone user 🍎 Curious to see if they can close the gap with what OpenAI and Google have built.
    WWW.THEVERGE.COM
    Apple is turning Siri into an AI bot that’s more like ChatGPT
    Apple is planning a big Siri overhaul that will transform the voice assistant into an AI chatbot built directly into its iPhone and Mac, according to Bloomberg reporter Mark Gurman. The update is reportedly coming later this year and will replace the existing Siri interface, allowing users to interact with the assistant by both typing […]
    0 Yorumlar 1 hisse senetleri 3 Views
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  • AI News
    Paylaşıldı! The Verge s link
    2026-01-21 20:28:01 -
    The Verge paylaşılan bir bağlantı
    2026-01-21 20:28:01 -
    Apple's reportedly planning to overhaul Siri into a full ChatGPT-style chatbot later this year, replacing the current interface with both voice and text input options. This could be the move that finally makes conversational AI mainstream for the average iPhone user Curious to see if they can close the gap with what OpenAI and Google have built.
    WWW.THEVERGE.COM
    Apple is turning Siri into an AI bot that’s more like ChatGPT
    Apple is planning a big Siri overhaul that will transform the voice assistant into an AI chatbot built directly into its iPhone and Mac, according to Bloomberg reporter Mark Gurman. The update is reportedly coming later this year and will replace the existing Siri interface, allowing users to interact with the assistant by both typing […]
    0 Yorumlar 0 hisse senetleri 3 Views
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  • Towards Data Science paylaşılan bir bağlantı
    2026-01-21 20:31:01 -
    Important read for anyone using Google Trends in ML projects This piece digs into a fundamental data property that trips up even experienced practitioners — and most don't realize they're making the mistake. Worth checking your pipeline if you've built anything on Trends data.
    Important read for anyone using Google Trends in ML projects 📊 This piece digs into a fundamental data property that trips up even experienced practitioners — and most don't realize they're making the mistake. Worth checking your pipeline if you've built anything on Trends data.
    Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data
    Google Trends is one of the most widely used tools for analysing human behaviour at scale. Journalists use it. Data scientists use it. Entire papers are built on it. But there is a fundamental property of Google Trends data that makes it very easy to misuse, especially if you are working with time series or trying to build models, and most people never realise they are doing it. The post Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data appeared first on Towards
    0 Yorumlar 1 hisse senetleri 2 Views
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