"Our research is greatly sped up by AI but AI still needs us"
twitter.com·5h·
Discuss: Hacker News
🔍ML Language
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Issue 496
haskellweekly.news·1d
👑Dependent Haskell
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Framework for Machine Evaluation of Reasoning Completeness in Large Language Models For Classification Tasks
arxiv.org·4d
🔍ML Language
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Show HN: Everything it took to run an LLM at 10k tok/s on H200s
relace.ai·2d·
Discuss: Hacker News
Gleam
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Enhanced Knowledge Graph Reasoning via Multi-Modal Data Fusion and Automated Verification
dev.to·1d·
Discuss: DEV
⚖️Inference Rules
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Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
arxiv.org·1d
🧠Memory Ordering
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AI Agents vs LLMs vs RAG
analyticsvidhya.com·14h
💬Interactive REPLs
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Writing an LLM from scratch, part 25 – instruction fine-tuning
gilesthomas.com·2d·
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🚀Tokenizer Performance
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A Beginner’s Guide to Getting Started with add_messages Reducer in LangGraph
langcasts.com·21h·
Discuss: DEV
🌉Language Bridges
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LLM Experimentation: Optimizing My Journaling Agent
dev.to·1d·
Discuss: DEV
📊LR Parsing
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RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
arxiv.org·3d
🪜Recursive Descent
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LAI #99: Rethinking RAG, Smarter Data Validation, and the GANs That Started It All
pub.towardsai.net·1d
📋Souffle Datalog
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7 Machine Learning Projects to Land Your Dream Job in 2026
machinelearningmastery.com·1d
🎯Finite Automata
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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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**Automated Malware Classification using LSTM and Naive Baye
dev.to·4h·
Discuss: DEV
⚖️Weighted Automata
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Turbocharge Your AI: A Smarter Way to Explore Decision Trees
dev.to·1d·
Discuss: DEV
🚶Tree-walking
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InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
paperium.net·21h·
Discuss: DEV
🌳Parser Visualization
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A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
arxiv.org·1d
Effect Inference
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Bringing Vision-Language Intelligence to RAG with ColPali
towardsdatascience.com·2d
📈Earley Parsing
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