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# llm

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From 60 to 25 hours: practical tips for effective AI-assisted development

From 60 to 25 hours: practical tips for effective AI-assisted development

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7 min read
MCP and A2A: Two bright modular futures for AI

MCP and A2A: Two bright modular futures for AI

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Comments 2
6 min read
MCP Explained: The Bridge Between LLMs and the Real World

MCP Explained: The Bridge Between LLMs and the Real World

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6 min read
ONLYOFFICE DocSpace MCP Server: a quick-start guide for developers

ONLYOFFICE DocSpace MCP Server: a quick-start guide for developers

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4 min read
VLM Pipeline with Docling

VLM Pipeline with Docling

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7 min read
Demystifying RAG 🔍: Retrieval-Augmented Generation Explained

Demystifying RAG 🔍: Retrieval-Augmented Generation Explained

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3 min read
The Evolving Landscape of LLM Training Data

The Evolving Landscape of LLM Training Data

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7 min read
AI in the Clinical Arena: Llama 4 Scout vs Claude 3.7 Statistical Showdown

AI in the Clinical Arena: Llama 4 Scout vs Claude 3.7 Statistical Showdown

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5 min read
Getting Started With Local LLMs Using AnythingLLM

Getting Started With Local LLMs Using AnythingLLM

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2 min read
🚀 LLMs are getting huge. But do we need all that firepower all the time?

🚀 LLMs are getting huge. But do we need all that firepower all the time?

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1 min read
GRPO to get structured data

GRPO to get structured data

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1 min read
đź’ˇ 10 learnings on LLM evaluations

đź’ˇ 10 learnings on LLM evaluations

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5 min read
Building DigDep.com: A Dev’s Quest to Open Source Supplement Science

Building DigDep.com: A Dev’s Quest to Open Source Supplement Science

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2 min read
Why I am Migrating From Zola Back to Hugo

Why I am Migrating From Zola Back to Hugo

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4 min read
Build a Chat App

Build a Chat App

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3 min read
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