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Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.com·12h
📝Markdown
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Introducing the Web Thing Protocol
tola.me.uk·6h·
Discuss: Hacker News
📡RSS
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Recommendations for Developing Social Media Style Site
reddit.com·3h·
Discuss: r/webdev
📡RSS
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·23h·
Discuss: Hacker News
🤖llm
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·11h·
Discuss: DEV
🤗Hugging Face
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Generative deep learning for foundational video translation in ultrasound
arxiv.org·18h
🧠deep learning
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[D] Favorite Deep Learning Textbook for teaching undergrads?
reddit.com·16h·
🧠deep learning
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Can LLMs subtract numbers?
arxiv.org·1d·
Discuss: Hacker News
🤖llm
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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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How I discover new blogs and websites
enocc.com·1d
📡RSS
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Creating a Miniblog
nate.mecca1.net·1d
📡RSS
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Dynamic Neuro-Network Resilience via Stochastic Gradient Amplification and Adaptive Sparsity (DNSAS)
dev.to·14h·
Discuss: DEV
🔥PyTorch
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The Rise of the Specialist: Why Small Language Models are the Future of Enterprise AI
dev.to·6h·
Discuss: DEV
🔥PyTorch
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Leveling with cluster analysis in Python: basic Python concepts
dev.to·1h·
Discuss: DEV
📊data science
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·18h
📝Markdown
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Observer-based neural networks for flow estimation and control
arxiv.org·18h
🔥PyTorch
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No OpenAI API? No Problem. Build RAG Locally with Ollama and FastAPI
dev.to·9h·
Discuss: DEV
📝Markdown
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Built an AI news summariser using AI Memory
reddit.com·6h·
Discuss: r/LLM
📡RSS
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Neural Green's Functions
arxiv.org·1d
🧠deep learning
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