The Search for Meaning Through Collaboration and Code
clojurecivitas.github.ioยท5h
๐ŸŒˆNannou
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The PowerPC Has Still Got It (Llama on G4 Laptop)
hackster.ioยท1dยท
Discuss: Hacker News
โšกHardware Acceleration
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Building Agentic AI with Amazon Bedrock โ€“ Part 1: Your First AI Agent (Beginner Friendly)
dev.toยท2hยท
Discuss: DEV
๐Ÿฆ™Ollama
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History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting
arxiv.orgยท39m
โฑ๏ธTime Series Analysis
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URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding
arxiv.orgยท39m
๐Ÿ”RAG
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Tech With Tim: Python for Machine Learning - Complete Roadmap!
dev.toยท2dยท
Discuss: DEV
๐Ÿ“ŠData Science
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Unimedvl: Unifying Medical Multimodal Understanding And Generation ThroughObservation-Knowledge-Analysis
paperium.netยท1dยท
Discuss: DEV
๐Ÿ“ฑEdge AI
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PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors
arxiv.orgยท39m
๐ŸงฎVector Databases
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VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing
arxiv.orgยท39m
๐ŸŒ€Naiad
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Make Python Up to 150ร— Faster with C
towardsdatascience.comยท3dยท
Discuss: r/programming
๐Ÿ”ขNumPy
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From Jupyter Notebook to Production: Complete Guide to ML Model Deployment
dev.toยท4dยท
Discuss: DEV
๐Ÿš€MLOps
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Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
arxiv.orgยท39m
๐Ÿ’ฌPrompt Engineering
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Tech With Tim: Python for Machine Learning - Complete Roadmap!
dev.toยท1dยท
Discuss: DEV
๐Ÿ’ฌPrompt Engineering
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Tech With Tim: Python Skills You NEED Before Machine Learning
dev.toยท7hยท
Discuss: DEV
๐Ÿ“ŠData Science
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How to Automate Your Knowledge Management with Python and AI APIs
dev.toยท12hยท
Discuss: DEV
๐Ÿค–Automation
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Image Aesthetic Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance
arxiv.orgยท39m
๐Ÿ‘๏ธComputer Vision
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Top 5 AI Observability Platforms in 2025
dev.toยท14hยท
Discuss: DEV
๐Ÿ”DTrace
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A Tensor Residual Circuit Neural Network Factorized with Matrix Product Operation
arxiv.orgยท1d
๐ŸงฎVector Databases
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TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
arxiv.orgยท39m
๐Ÿ”RAG
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