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My SaaS homepage design journey as a backend developer
govigilant.io·5h·
Discuss: r/web_design
🌐IndieWeb
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Understanding multi GPU Parallelism paradigms
datta0.github.io·1d·
Discuss: Hacker News
🔥PyTorch
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
Discuss: Hacker News
🧠deep learning
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Creating a Miniblog
nate.mecca1.net·1d
📡RSS
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American Wind Farms
tech.marksblogg.com·14h·
Discuss: Hacker News
📊data science
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·2d·
Discuss: Hacker News
🔥PyTorch
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Supercharging AI Model Building: Data and Task Parallelism with Ray and Databricks
databricks.com·1h
🔥PyTorch
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This Week in Sports Trivia: November 6, 2025
nytimes.com·8h
🕸small web
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n8n Matrix Display
hackster.io·9h
🔥PyTorch
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·3h·
Discuss: Hacker News
🔥PyTorch
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Dynamic Neuro-Network Resilience via Stochastic Gradient Amplification and Adaptive Sparsity (DNSAS)
dev.to·12h·
Discuss: DEV
🔥PyTorch
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Run LLMs Locally
ikangai.com·1d·
Discuss: Hacker News
🔥PyTorch
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Recommendations for Developing Social Media Style Site
reddit.com·1h·
Discuss: r/webdev
📡RSS
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·1h
📊data science
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·21h·
Discuss: Hacker News
🤖llm
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·8h·
Discuss: DEV
🤗Hugging Face
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A Guide to the Best Java Machine Learning Libraries
dev.to·10h·
Discuss: DEV
📊data science
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Generative deep learning for foundational video translation in ultrasound
arxiv.org·16h
🧠deep learning
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[D] Favorite Deep Learning Textbook for teaching undergrads?
reddit.com·14h·
Discuss: r/MachineLearning
🧠deep learning
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Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.com·9h
📝Markdown
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