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Planning > Agents: Getting Reliable Code from LLMs
repoprompt.com·1d·
Discuss: Hacker News
⛓️LangChain
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Show HN: Kumi – a portable, declarative, functional core for business logic
kumi-play-web.fly.dev·17h·
Discuss: Hacker News
⛓️LangChain
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You may not need pg_vector, sqlite-vss, etc.
dev.to·11h·
Discuss: DEV
🗄️Vector Databases
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
Discuss: Hacker News
👁️Computer Vision
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A Practical Guide to LLM Tool Integration in Javascript
artiforge.ai·1d·
Discuss: r/javascript
⛓️LangChain
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Run LLMs Locally
ikangai.com·19h·
Discuss: Hacker News
⛓️LangChain
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Gen AI Grows Up: Building Production-Ready Agents on the JVM • Rod Johnson • GOTO 2025
youtube.com·1d
⛓️LangChain
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AI Agent Orchestration Frameworks
blog.n8n.io·1d·
Discuss: Hacker News
⛓️LangChain
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
🗄️Vector Databases
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AI Papers to Read in 2025
towardsdatascience.com·15h
⚙️Model Fine-tuning
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MIT researchers propose a new model for legible, modular software
news.mit.edu·11m
⛓️LangChain
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Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
arxiv.org·8h
⛓️LangChain
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Legal Research is Changing: How AI Makes Your C# Applications Smarter
dev.to·1h·
Discuss: DEV
⛓️LangChain
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Beyond Basic RAG: AI Agents for Context-Aware Responses
thenewstack.io·21h
🔍RAG
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OpenAI Model Spec
model-spec.openai.com·4h·
Discuss: Hacker News
🤖AI
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I really like Promptfoo for testing prompts, so I wrote an article on how to use it to test prompts with different models and various assert types. Let me know ...
pvkl.nl·1d·
Discuss: r/LLM
📈Model Evaluation
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Unlock Multi-Domain NLP: Adapt Pre-trained Models Without the Heavy Lifting
dev.to·4h·
Discuss: DEV
⚙️Model Fine-tuning
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neowin.net·16h
⛓️LangChain
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Enhanced Interoperability via Dynamic Semantic Alignment in Cross-Chain DeFi Protocols
dev.to·5h·
Discuss: DEV
⛓️LangChain
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Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances
arxiv.org·8h
🤖AI
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