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ChatGPT vs. Logic: Why AI Code is Slower
Fresh AI, programming and Big Tech news. Scrollable decks, neon accents — maximum focus with minimal scrolling.
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AI — Latest Models & Research
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ChatGPT vs. Logic: Why AI Code is Slower
I recently set a simple task: Find the lowest value in a list and return all its indices. The rules...
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Como programar uma linguagem de programação? - Pituguês
Há poucos tempo, trouxe aqui para o TabNews uma apresentação e tutorial da linguagem Pituguês. Mas...
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Construindo seu MCP com FastMCP
INTRODUÇÃO: Se você usa inteligência artificial, sabe que ela tem um limite claro: ela é muito...
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I Built a Multi-Channel Conversation Framework in Python. Here's Why.
If you've ever integrated SMS, email, voice, and chat into the same app, you know the pain. Each...
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🔥 Building Vigilo: A 15MB File Integrity Monitor That Outperforms OSSEC
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Automating SEO with Python and Scraping API
Software as a Service costs for SEO can hit hundreds of dollars every month. Most of these platforms...
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My first post ( i guess)
So I'll be sharing my journey of CYS here about what i learn daily (hopefully) . Currently i know...
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How I Built a Lightning-Fast Local RAG with Cosdata and Ollama
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The Armored AI Agent You Can Actually Trust
I built an open-source AI agent platform that prioritizes transparency and security over "magic"....
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Lesson 1 - Python Basics: Print, Syntax & First Programs
1. Concept Overview Python is a high-level, interpreted programming language designed to...
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The Secret Life of Python: The Phantom Copy
Why = doesn't actually copy your data in Python. Timothy stared at his screen, his face pale....
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Shared LoRA Subspaces for almost Strict Continual Learning
Adapting large pretrained models to new tasks efficiently and continually is crucial for real-world deployment but remains challenging due to catastrophic forgetting and the high cost of retraining. While parameter-efficient tuning methods like low rank adaptation (LoRA) reduce computational demands, they lack mechanisms for strict continual learning and knowledge integration, without relying on d
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