AI Experiments: Fast Inference with Groq and Third-Party Tools with Kimi K2 in TypingMind
macstories.net·1d
🌱Minimal Interpreters
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Your Guide to LLM Evaluation tools
pub.towardsai.net·1d
🎮Language Ergonomics
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The Single Most Overlooked Decision in RAG: Stop Naive Text Splitting
reddit.com·1d·
Discuss: r/LocalLLaMA
📦Compression Algorithms
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Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
arxiv.org·1d
🪜Recursive Descent
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Opportunistically Parallel Lambda Calculus
dl.acm.org·1d·
Discuss: Hacker News
🌱Minimal Languages
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Falcon: A Comprehensive Chinese Text-to-SQL Benchmark for Enterprise-Grade Evaluation
arxiv.org·2d
📋Tablegen
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An intro to the Tensor Economics blog
lesswrong.com·2d
🗺️Region Inference
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Grammarly has rebranded as Superhuman, launching a new AI assistant that works across 100+ apps
techradar.com·1d
🔄Incremental Lexing
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Start Speaking AI: Easy Explanations for 15 Common Terms
future.forem.com·15h·
Discuss: DEV
🔄Incremental Tokenizers
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Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1
aws.amazon.com·8h
⚖️Inference Rules
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Show HN: Front End Fuzzy and Substring and Prefix Search
github.com·3d·
Discuss: Hacker News
📝Text Algorithms
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SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models
paperium.net·10h·
Discuss: DEV
🪜Recursive Descent
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Why do AI models use so many em-dashes?
seangoedecke.com·2d
🔤Language Tokenizers
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Unlocking Real-Life Conversations: An interview with Silvia, Babbel Speak Content Expert
babbel.com·1d
💬Interactive REPLs
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The 5 GitHub Repositories Every Prompt Engineer Should Bookmark
amzn.to·3h·
Discuss: DEV
Live Coding
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Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens
arxiv.org·1d
📋S-Expression
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Decoding the Language of Data: A Comprehensive Guide to Text Mining in R and Python
dev.to·23h·
Discuss: DEV
🧠Semantic Parsing
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Toward Machine Interpreting: Lessons from Human Interpreting Studies
machinelearning.apple.com·3d
🎮Language Ergonomics
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Announcing llm-docs-builder: OSS library for optimizing documentation for AI/RAG systems
mensfeld.pl·1d·
Discuss: r/opensource
📚Self-Documenting Code
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