RedCodeAgent: Automatic red-teaming agent against diverse code agents
microsoft.com·13h
🛡️Parser Security
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The promise of AI chat assistants: they solve 90% of the problems users have (by looking up the docs and telling them)
bsky.app·13h·
Discuss: Bluesky
💬Interactive REPLs
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Beyond Standard LLMs
magazine.sebastianraschka.com·16h·
Discuss: Hacker News, r/LLM
🔄Subinterpreters
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
towardsdatascience.com·11h
🔢Algebraic Datatypes
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·12h·
Discuss: Hacker News
📡Erlang BEAM
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Post-training methods for language models
developers.redhat.com·22h
🪜Recursive Descent
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Perceived Femininity in Singing Voice: Analysis and Prediction
arxiv.org·1h
🌱Minimal Interpreters
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[TUI] Ricing the original Rogue
github.com·9h·
Discuss: r/roguelikes, r/unixporn
🏷️Symbol Mangling
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A Unified Model for Human Mobility Generation in Natural Disasters
arxiv.org·1h
🚂Error Propagation
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My dumb prompts that worked better
blog.nilenso.com·1d
🔄Subinterpreters
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I Got Tired of Deceptive Casino Bonuses, So I Built a "Truth Calculator" with Vanilla JavaScript. Here's How You Can Too.
dev.to·13h·
Discuss: DEV
✨Code Formatting
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·11h·
Discuss: DEV
📋JSON Parsing
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.net·38m
🪜Recursive Descent
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Can Conversational AI Counsel for Change? A Theory-Driven Approach to Supporting Dietary Intentions in Ambivalent Individuals
arxiv.org·1h
✨Effect Inference
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Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis, Solution, and Interpretation
arxiv.org·1h
✨Gleam
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Lowering in Reverse
buttondown.com·1d
🗃️Query Compilation
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Teaching My Team How to Build LINQ from Scratch
dev.to·15h·
Discuss: DEV
📋Souffle Datalog
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Balancing Cost, Power, and AI Performance
oreilly.com·11h
⚡Tokenizer Optimization
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Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model
arxiv.org·1d
🔍ML Language
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I built a leaderboard for Rerankers
reddit.com·9h·
Discuss: r/LocalLLaMA
💬Interactive REPLs
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