Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·3h
🔤DSLs
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Building WriteRight: My Journey Creating an AI Writing Assistant with Mastra
🌐Fediverse
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·16h
🔤DSLs
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Lowering in Reverse
buttondown.com·13h
🔤DSLs
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Adding New Capability in Existing Scientific Application with LLM Assistance
arxiv.org·3h
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·3h
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Context7 is the most underrated MCP server you're not using for your local LLM
xda-developers.com·6h
⚡Async Programming
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Scala vs. F#
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We found embedding indexing bottleneck in the least expected place: JSON parsing
⚡Async Programming
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Inferring multiple helper Dafny assertions with LLMs
arxiv.org·3h
🔤DSLs
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Makefile vs. YAML: Modernizing verification simulation flows
edn.com·21h
🔤DSLs
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Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification
arxiv.org·3h
🔤DSLs
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