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Emulating human-like adaptive vision for efficient and flexible machine visual perception
nature.com·15h
👁️Computer Vision
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WTF is Machine Learning Operations (MLOps)?
dev.to·6h·
Discuss: DEV
🚀MLOps
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·15h·
Discuss: Hacker News
⛓️LangChain
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·3h·
Discuss: DEV
⛓️LangChain
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A Guide to the Best Java Machine Learning Libraries
dev.to·4h·
Discuss: DEV
🧠Machine Learning
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·2d
⛓️LangChain
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·2h·
Discuss: r/LocalLLaMA
📝Natural Language Processing
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From AI to NLP: The Four Phases of Language Understanding
dev.to·19h·
Discuss: DEV
📝Natural Language Processing
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The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment
shaped.ai·3d
🚀MLOps
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Detached agent chains that work like people do
nuuduu.com·16h·
Discuss: DEV
⛓️LangChain
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Indexing sparse vectors with Turso
turso.tech·1d
🗄️Vector Databases
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Large language models require a new form of oversight: capability-based monitoring
arxiv.org·10h
🚀MLOps
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Emotion Detection From Social Media Posts
arxiv.org·10h
📊Data Science
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Real-world chemistry lab image dataset for equipment recognition across 25 apparatus categories
nature.com·1d
👁️Computer Vision
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The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't
rewire.it·15h·
Discuss: Hacker News
🚀MLOps
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The 5 FREE Must-Read Books for Every LLM Engineer
kdnuggets.com·1d
⛓️LangChain
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·2d·
Discuss: DEV
⛓️LangChain
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The AI Stack We Trust: Tools, Frameworks, and Practices We Use in Production
dev.to·11h·
Discuss: DEV
🚀MLOps
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