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Autark: Rethinking build systems โ€“ Integrate, Don't Outsource
blog.annapurna.ccยท1hยท
Discuss: Hacker News
๐Ÿ’ปCLI Tools
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How to Use Multimodal AI Models With Docker Model Runner
docker.comยท1d
๐Ÿค–AI
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Building a Production-Ready AI Agent
api.github.comยท19hยท
Discuss: DEV
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.orgยท11h
๐Ÿ—‚๏ธVector Databases
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Building an AI Code Helper Agent with Mastra and Telex
dev.toยท9hยท
Discuss: DEV
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting Prompts
arxiv.orgยท11h
๐Ÿ’ฌPrompt Engineering
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Unleash AI Potential: Mastering Automated Data Labeling for Unprecedented Model Accuracy
dev.toยท7hยท
Discuss: DEV
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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How I Use AI to Build Frontend Apps: My Candid, Messy Process
dev.toยท14hยท
Discuss: DEV
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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Schaltwerk โ€“ The IDE Without Editor
github.comยท10hยท
Discuss: Hacker News
๐Ÿ’ปCLI Tools
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This is one way I use AI for coding
dev.toยท1dยท
Discuss: DEV
๐Ÿ‘จโ€๐Ÿ’ปAI Coding
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ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
arxiv.orgยท11h
๐Ÿ’ฌPrompt Engineering
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Why Multimodal AI Broke the Data Pipeline โ€” And How Daft Is Beating Ray and Spark to Fix It
hackernoon.comยท1d
๐Ÿ“ŠMachine Learning
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Beyond Standard LLMs
magazine.sebastianraschka.comยท3hยท
Discuss: Hacker News, r/LLM
๐Ÿ’ฌPrompt Engineering
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STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
arxiv.orgยท11h
๐Ÿ”RAG
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Why stop at 1 million tokens when you can have 10? My journey to extreme context on a gaming GPU. [P]
reddit.comยท5hยท
๐Ÿง Anthropic Claude
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On Improvisation and Open-Endedness: Insights for Experiential AI
arxiv.orgยท11h
๐Ÿค–AI
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7 Proven Core Web Vitals Optimization Patterns That Boost Performance and User Experience
dev.toยท18hยท
Discuss: DEV
๐ŸŒWeb Development
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Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index
arxiv.orgยท11h
๐Ÿ—‚๏ธVector Databases
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Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
arxiv.orgยท11h
๐Ÿ”RAG
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