🔗 LangChain

LLM Applications, Chains, Prompt Engineering, AI Orchestration

Lean4 Macros for Implementing Custom Quantifiers
jamesoswald.dev·1d·
Discuss: Hacker News
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Silicon Photonic Interconnected Chiplets With Computational Network And IMC For LLM Inference Acceleration (NUS)
semiengineering.com·16h
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Build AI Apps Instantly with Replit AI Integrations
blog.replit.com·4h·
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Agentic coding with Google Jules
infoworld.com·7h
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MCP-DSL. 75-85% Fewer Tokens. Same Great Taste
blog.orangecountyai.com·23h·
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Right-sized AI: Good for business, users, and the planet
web.dev·1d·
Discuss: Hacker News
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·11h
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Beyond the Basics: 5 Advanced Prompting Strategies that Turn LLMs into Autonomous Agents (Prompt Engineering for Devs - Part 3)
dev.to·1d·
Discuss: DEV
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DevMind - AI-Powered Developer Second Brain
dev.to·1d·
Discuss: DEV
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Code Smell 314 - Model Collapse
dev.to·5h·
Discuss: DEV
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·2d·
Discuss: DEV
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·3d·
Discuss: DEV
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How We Cut LLM Batch Inference Time in Half with Dynamic Prefix Bucketing
dev.to·17h·
Discuss: DEV
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Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
arxiv.org·11h
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The Mental Weight of Multitasking
reddit.com·1h·
Discuss: r/LLM
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
arxiv.org·11h
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Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
arxiv.org·11h·
Discuss: Lobsters
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Deploy Scalable Application on Databricks Apps integrated with FastAPI
pub.towardsai.net·5h
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TimeSense:Making Large Language Models Proficient in Time-Series Analysis
arxiv.org·11h
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My go-to prompt for legacy code exploration
leftofthe.dev·1d·
Discuss: Hacker News
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