Improving Structured Outputs in the Gemini API
blog.google·7h
🏗️Software Architecture
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PostgreSQL 18 – Virtual Generated Columns
hashrocket.com·20h·
Discuss: Hacker News
🗄️Database Theory
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Can-t stop till you get enough
cant.bearblog.dev·3d·
Discuss: Hacker News
Functional Programming
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Building Custom LLM Judges for AI Agent Accuracy
databricks.com·1d
🧭SMT Solvers
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PAINT25 Invited Talk transcript: “Notational Freedom via Self-Raising Diagrams”
programmingmadecomplicated.wordpress.com·1d
🧮Programming Language Theory
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Building Collaborative AI: A Developer's Guide to Multi-Agent Systems with ADK
cloud.google.com·16h
🌍Distributed Systems
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Day 23: Python Positive Sum Function – Calculate the Sum of Positive Numbers in a List
dev.to·2d·
Discuss: DEV
🎲Probabilistic Programming
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Ultimate C# Tutorial (C Sharp) for .NET Developers
dev.to·13h·
Discuss: DEV
📝Lisp
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.com·1d·
🔗Parser Combinators
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[R] Knowledge Graph Traversal With LLMs And Algorithms
reddit.com·1d·
🧩Theorem Proving
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Spatial Reasoning Unleashed: Causal Language Models for Smarter Spatial Data
dev.to·1d·
Discuss: DEV
🎲Probabilistic Programming
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Building Trinity Protocol v3.1: A Deep Dive into 2-of-3 Multi-Chain Consensus
dev.to·2d·
Discuss: DEV
🤝Protocol Design
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Building Definition Bot: Thinking Simple, Building Smart
github.com·22h·
Discuss: DEV
🔗Parser Combinators
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Automated Optimization of Single-Molecule Magnet (SMM) Anisotropy via Machine Learning-Guided Ligand Design
dev.to·1h·
Discuss: DEV
🔐Cryptography
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Python Integration for Scryer Prolog Using FFI (Research Project)
github.com·2d·
Discuss: Hacker News
⚖️Logic Programming
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Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1
aws.amazon.com·5d
🧩Theorem Proving
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Process Bottleneck Breakthrough: AI-Powered Outcome Prediction
dev.to·21h·
Discuss: DEV
🎲Probabilistic Programming
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Complex QA and language models hybrid architectures, Survey
arxiv.org·1d
🔢Mathematical Logic
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Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
arxiv.org·19h
🎲Probabilistic Programming
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Decoding Life's Code: AI-Powered Causal Inference for Biological Networks by Arvind Sundararajan
dev.to·19h·
Discuss: DEV
🧫Cellular Automata
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