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💬 Natural Language Processing
We Built an MCP Server and These Are the Gotchas Nobody Talks About
cloudquery.io·1d·
Discuss: Hacker News
🗄️Database Sharding
How to Use NLP to Extract Business Insights from Chat Data
dev.to·3d·
Discuss: DEV
🤖Machine Learning
Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
dev.to·19m·
Discuss: DEV
🤖Machine Learning
Machine Learning Fundamentals: model evaluation with python
dev.to·1h·
Discuss: DEV
🤖Machine Learning
Investigating Gender Bias in LLM-Generated Stories via Psychological Stereotypes
arxiv.org·13h
🤖Machine Learning
NemoPresetExt another update.
github.com·45m·
Discuss: r/SillyTavernAI
⚙Technology
Show HN: Principles of Building AI Agents book [pdf]
github.com·3h·
Discuss: Hacker News
♟Chess Programming
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
arxiv.org·13h
🤖Machine Learning
NewsHub - AI-Powered News Aggregation Platform
dev.to·1h·
Discuss: DEV
📡gRPC
🎲 AI #127: Continued Claude Code Complications
thezvi.wordpress.com·19h
⚙Technology
Understanding Information Gain: Choosing the Right Questions
dev.to·16h·
Discuss: DEV
🤖Machine Learning
Prompting Large Language Models to Detect Dementia Family Caregivers
arxiv.org·1d
🤖Machine Learning
AI judging AI: Scaling unstructured text analysis with Amazon Nova
aws.amazon.com·1d
🤖Machine Learning
LLMs - Embeddings 01
dev.to·2d·
Discuss: DEV
🤖Machine Learning
Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning
arxiv.org·1d
🤖Machine Learning
ProCut: LLM Prompt Compression via Attribution Estimation
arxiv.org·1d
📡gRPC
Thinking Clearly with LLMs: Mental Models and Cognitive Pitfalls in Prompt Engineering
dev.to·53m·
Discuss: DEV
♟Chess Programming
Understanding the Embedding Models on Hyper-relational Knowledge Graph
arxiv.org·13h
🤖Machine Learning
RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
arxiv.org·13h
🤖Machine Learning
The AI-Augmented Research Process: A Historian's Perspective
arxiv.org·1d
🤖Machine Learning
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