One problem for chatgpt, Claude or any other platform for developers. These all provide deprecated code when we search anything related to open source libraries or frameworks which gets regularly updated. Another problem is going through the documentation, it takes a lot of time
CODE
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Local LLM Network Setup: Windows RTX 5090 to MacBook Pro
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What app should I install on my Windows RTX 5090 PC so I can have a local network LLM on my MacBook Pro on same network? And can I use it on Cursor, no right?
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MetaEmbed: Scaling Multimodal Retrieval with Flexible Late Interaction
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MetaEmbed Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
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LM Studio and Llama.cpp Developers Invited to Event
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yeah, i will will also invite @lmstudio
, the llama.cpp folks, among others -
50 Essential Algorithms Every Programmer Should Know
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50 #Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk via @PacktDataML —————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience -
ByteDance Dolphin: Open Source PDF Parser for LLM Applications
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Turn PDF files into clean, LLM-ready data! ByteDance released Dolphin, a document parsing framework that converts PDFs into structured formats like Markdown, HTML, LaTeX, and JSON. 100% Open Source
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OnePiece: Context Engineering and Reasoning in Cascade Ranking
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OnePiece Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
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Scaleway joins inference providers for EU-based AI deployment
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ICYMI we now have @Scaleway on Inference Providers… which mean you can run on their infra from VS Code, RooCode, Continue, or any downstream library or application – also via our Python and Typescript SDKs Some much needed EU based inference
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RateLimit Header Draft Standardization Status Update
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@sdlord07 Hi Sanyam! Do you know what's the status of the RateLimit header draft?
Do you see standardization amongst implementers currently? At @huggingface we are wondering which version of the draft to target in our implementation. Thanks!