Think DSP second edition
allendowney.com·1d
⚙Functional Programming
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How to evaluate and benchmark Large Language Models (LLMs)
together.ai·1d
🧭SMT Solvers
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Building Custom LLM Judges for AI Agent Accuracy
databricks.com·21h
🧭SMT Solvers
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NDC Conferences: "Would YOU Survive the Titanic?", with ML and .NET - Simon Painter - NDC Copenhagen 2025
🎲Probabilistic Programming
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Post-training methods for language models
developers.redhat.com·1d
🎲Probabilistic Programming
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Being "Usefully Concrete"
lesswrong.com·18h
🧩Theorem Proving
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·2d
🧩Theorem Proving
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A Practical Guide to Building AI Agents With Java and Spring AI - Part 1 - Create an AI Agent
🧩Theorem Proving
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Comparative Analysis of Discrete and Continuous Action Spaces in Reservoir Management and Inventory Control Problems
arxiv.org·12h
🎯Constraint Programming
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BondBERT: What we learn when assigning sentiment in the bond market
arxiv.org·12h
🔗Parser Combinators
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Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·12h
🏗️Software Architecture
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Code Smell 313 - Workslop Code
🧫Cellular Automata
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Q-Sat AI: Machine Learning-Based Decision Support for Data Saturation in Qualitative Studies
arxiv.org·12h
🎲Probabilistic Programming
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Reality check
⚙Functional Programming
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