Design principles for teams working in healthcare
mikegallagher.org·2d
⌨️Prompt Engineering
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Why I don’t test different designs at the same time
adamsilver.io·3d·
Discuss: Lobsters, Hacker News
🔮AI prompt engineering tools
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Oxy is Cloudflare's Rust-based next generation proxy framework
blog.cloudflare.com·6d·
Discuss: Hacker News
🏡Local running LLMs
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LangChain Might Be the New WordPress of AI
designveloper.com·6d·
Discuss: r/programming
⌨️Prompt Engineering
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Lessons from 70 interviews on deploying AI Agents in production
mmc.vc·5d·
Discuss: Hacker News
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Learning Complementary Policies for Human-AI Teams
arxiv.org·5d
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pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements
arxiv.org·6d
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Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches
arxiv.org·5d
🏡Local running LLMs
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Magnetic Materials for Transcranial Magnetic Stimulation (TMS)
arxiv.org·5d
🔮AI prompt engineering tools
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ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights
arxiv.org·5d
🔮AI prompt engineering tools
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·6d
🤖AI
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OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models
arxiv.org·5d
🤖AI
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World Simulation with Video Foundation Models for Physical AI
arxiv.org·5d
🔮AI prompt engineering tools
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Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference
arxiv.org·5d
🔮AI prompt engineering tools
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Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas
arxiv.org·4d
🔮AI prompt engineering tools
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Adaptive Human-Computer Interaction Strategies Through Reinforcement Learning in Complex
arxiv.org·6d
🔮AI prompt engineering tools
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Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
arxiv.org·5d
🏡Local running LLMs
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GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
arxiv.org·5d
🏡Local running LLMs
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Iterative Foundation Model Fine-Tuning on Multiple Rewards
arxiv.org·5d
🔮AI prompt engineering tools
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Multi-View Consistent Human Image Customization via In-Context Learning
arxiv.org·5d
⌨️Prompt Engineering
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