🧩 LLM Integration

Local model deployment, model quantization, inference optimization, edge deployment

Introducing SWE-1.5: Our Fast Agent Model
simonwillison.net·2d
💬Prompt Engineering
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How to design effective agent workflows?
boliv.substack.com·10h·
Discuss: Substack
💬AI Code Assistants
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ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
paperium.net·4h·
Discuss: DEV
📸Visual Regression Testing
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Best Open Source Observability Solutions
clickhouse.com·11h·
Discuss: Hacker News
💡Observability on a Budget
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Porting of MobileNetV3 Model and Implementation of Handwritten Digit Recognition Based on OKMX8MP-C (Linux 5.4.70)
dev.to·1d·
Discuss: DEV
📉Model Quantization
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Beyond the Magic: How LLMs Work
tag1.com·3d·
Discuss: Hacker News
📖Digital Hermeneutics
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·1d·
Discuss: DEV
🧱Chunking
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Daily Artificial Intelligence Digest - Oct 31, 2025
dev.to·1d·
Discuss: DEV
⚖AI Ethics & Alignment
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Show HN: Hot or Slop – Visual Turing test on how well humans detect AI images
hotorslop.com·1d·
Discuss: Hacker News
📸Visual Regression Testing
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Breaking Monoliths Taught Me How to Fix Data
blog.matterbeam.com·14h·
Discuss: Hacker News
📊Data Pipelines (ETL)
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How to Stop Your AI from Making Things Up: A Guide to Grounding LLM Responses in Data
dev.to·2d·
Discuss: DEV
💬Prompt Engineering
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Writing an LLM from scratch, part 25 – instruction fine-tuning
gilesthomas.com·2d·
Discuss: Hacker News
💬Prompt Engineering
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Building Intelligent AI Agents with Modular Reinforcement Learning
dev.to·1d·
Discuss: DEV
📐Spec-Driven Development
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AI Guardrails: Ensuring Safe, Ethical, and Reliable AI Deployment
patronus.ai·1d·
Discuss: DEV
⚖AI Ethics & Alignment
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Emergent introspective awareness in large language models
transformer-circuits.pub·1d·
Discuss: Hacker News
❓Elaborative Interrogation
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Minimal Sufficiency: A Principle ‘Similar’ to End-to-End
cacm.acm.org·11h·
Discuss: Hacker News
🏗Budget Infrastructure
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Why the Model Context Protocol is the Future of AI Integration
dev.to·2d·
Discuss: DEV
💬Prompt Engineering
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QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
paperium.net·1d·
Discuss: DEV
💬Prompt Engineering
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How Well Does RL Scale?
tobyord.com·1d·
Discuss: Hacker News
💸Affordable LLMs
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Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs
paperium.net·4d·
Discuss: DEV
💸Affordable LLMs
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