Power Analysis in Marketing: A Hands-On Introduction
towardsdatascience.com·7h
📊Data Science
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Bug fix release 2.07 for the Perl Distribution Workflow
dev.to·11h·
Discuss: DEV
🛡️Error Handling
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Automating error analysis for AI agents – what works and doesn't
atla-ai.com·4d·
Discuss: Hacker News
🚀MLOps
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Optimized Metabolic Flux Redirection for Enhanced Taxol Production in *Saccharomyces cerevisiae*
dev.to·20h·
Discuss: DEV
🧬Computational Biology
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[Tool] RE-Architect: Automated binary analysis with multiple decompilers + AI explanations
github.com·3d·
Discuss: r/programming
🔍Reverse Engineering
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Automated Differential Privacy Enforcement via Generative Adversarial Networks for Synthetic Data Fabric Construction
dev.to·21h·
Discuss: DEV
🔬Deep Learning
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Lemonade's C++ port is available in beta today, let me know what you think
reddit.com·2d·
Discuss: r/LocalLLaMA
🏗️Build Systems
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built a desktop app for managing ci/cd pipelines across multiple providers (including argocd and tekton)
reddit.com·19h·
Discuss: r/kubernetes
🐝Cilium
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JSZip library in Chef codebase.
dev.to·1d·
Discuss: DEV
FastAPI
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⚡ Rethinking Prompt Engineering: How Agent Lightning’s APO Teaches Agents to Write Better Prompts
dev.to·2d·
Discuss: DEV
💬Prompt Engineering
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The Evolution of AI-First Coding: What It Means for Developers
dev.to·2d·
Discuss: DEV
🎭Program Synthesis
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Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
arxiv.org·1d
🧠Machine Learning
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From 30 Minutes to 5: Solving Data Pipeline Deployment Bottlenecks with Git Sparse Checkout
dev.to·2d·
Discuss: DEV
🏗️Cranelift
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Building Data Pipelines That Keep GPUs Fed During LLM Training
pub.towardsai.net·1d
🔬Deep Learning
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How Strategic AI Consulting Converts Potential into Performance
pub.towardsai.net·4h
💬Prompt Engineering
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Building a New York Times Connections Solver with Python
dev.to·16h·
Discuss: DEV
📝Parsing
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Tiny GenBI: Lightweight Agent for business analysis
github.com·2d·
Discuss: Hacker News
🦙Ollama
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Meet Aissist - your personal AI command line sidekick
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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Building a simple async sales system to sustain clarity and income
dev.to·14h·
Discuss: DEV
🦀Rust
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·4d
🦙Ollama
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