LangGraph feels like what LangChain wanted to be
leanware.co·2d·
Discuss: r/rust
🚀MLOps
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Just finished building my own langchain ai agent that can be integrated in other projects and compatible with multiple tools.
github.com·4h·
Discuss: r/LLM
🤖AI
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Function Calling in LangChain: Turning Chatbots into Enterprise Copilots
dev.to·3d·
Discuss: DEV
🚀MLOps
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[Open Source] We deployed numerous agents in production and ended up building our own GenAI framework
reddit.com·1d·
Discuss: r/LocalLLaMA
🚀MLOps
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A Beginner’s Guide to Getting Started with add_messages Reducer in LangGraph
langcasts.com·2d·
Discuss: DEV
🤖Transformers
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Beyond the LLM: The 8 Essential Components for Building Reliable AI Agents and Where Coding Tools Fit In
youtu.be·11h·
Discuss: DEV
🤖AI
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A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
paperium.net·13h·
Discuss: DEV
📝Natural Language Processing
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Evaluating LLMs with LangSmith: A Comprehensive Guide
analyticsvidhya.com·1d
🚀MLOps
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Parsing with zippers improves parsing with derivatives
dl.acm.org·43m·
Discuss: Hacker News
📝Natural Language Processing
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PORTool: Tool-Use LLM Training with Rewarded Tree
arxiv.org·2d
🤖LLM
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Why vLLM is the best choice for AI inference today
developers.redhat.com·2d
🚀MLOps
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Java's Agentic Framework Boom Is a Code Smell
gnanaguru.com·12h·
Discuss: Hacker News
🚀MLOps
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Speedrunning an RL Environment
sidb.in·23h·
Discuss: Hacker News
🤖AI
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Ask HN: is this a common LLM-assisted development workflow?
news.ycombinator.com·7h·
Discuss: Hacker News
🚀MLOps
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Smaller Surfaces
nrempel.com·12h·
Discuss: Hacker News
🚀MLOps
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Migration Made Easy: Transitioning from Traditional AI Libraries to Low-Code Solutions in Q4 2025
dev.to·6h·
Discuss: DEV
🚀MLOps
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
ollama.com·12h·
Discuss: DEV
🗄️Vector Databases
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Show HN: Using GitHub Pages as zero-cost APT repository with global CDN
vejeta.com·16h·
Discuss: Hacker News
🚀MLOps
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What Are the Best Ways to Integrate LLMs Into SEO and Analytics Workflows?
dev.to·3h·
Discuss: DEV
📝Natural Language Processing
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From Parrot to Partner - How Reinforcement Learning Taught LLMs to Talk Like Humans
dev.to·1h·
Discuss: DEV
⚙️Model Fine-tuning
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