GPT, Prompt Engineering, Fine-tuning, Embeddings

The Historical Position of Large Language Models – and What Comes After Them
news.ycombinator.com·2h·
Discuss: Hacker News
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·4d·
Discuss: DEV
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AI-Driven Multi-Modal Biomarker Fusion for Early-Stage Pancreatic Cancer Detection
dev.to·54m·
Discuss: DEV
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Your Top 2026 Priority? Prepare Your Data for AI
thenewstack.io·16h
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Evolving Minds: Building Adaptable AI Through Strategic Response Learning
dev.to·1d·
Discuss: DEV
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Automated Port-City Integration Assessment via Dynamic Network Optimization and Predictive Analytics
dev.to·7h·
Discuss: DEV
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Two Hours to Find a Swapped String
dev.to·5h·
Discuss: DEV
💻Software development
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Foolproof AI: Guaranteeing Plan Execution Before Deployment
dev.to·18h·
Discuss: DEV
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Show HN: Autogenerate efficient backward kernels for Triton
github.com·2d·
Discuss: Hacker News
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Navigating the Ethics of AI: Lessons from 2025
dev.to·1d·
Discuss: DEV
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vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs
arxiv.org·1d
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Help Me Build the Future: Test My AI Developer Kit (Free Product Inside)
vibe.forem.com·8h·
Discuss: DEV
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Multi-Reward GRPO Fine-Tuning for De-biasing Large Language Models: A Study Based on Chinese-Context Discrimination Data
arxiv.org·3d
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Relation as a Prior: A Novel Paradigm for LLM-based Document-level Relation Extraction
arxiv.org·2d
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Adaptive Real-Time Control via Multi-Modal Data Fusion and Bayesian Optimization
dev.to·1d·
Discuss: DEV
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How Perplexity AI Tools Stack Up Against Competitors: Comet, Atlas, and Beyond
pub.towardsai.net·11h
🤖AI
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Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
arxiv.org·2d
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Infrastructure considerations for LLMs - and a career question for someone looking to come back after a break?
reddit.com·4d·
Discuss: r/devops
💻Software development
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