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JeeTaa • 3m
Impressive technology, but it's dangerously oversimplified. Real application development involves more than just prompts and outputs, it requires thoughtful architecture, scalability, and security, tools like Rocket AI risk encouraging 'shortcut innovation' instead of genuine product craftsmanship.
Shaping the Unseen. ... • 4m
Craftsmanship in architectural design is the skilled, thoughtful process of shaping materials, where precise detail and mastery elevate spaces from mere structures to enduring works of art. It combines artistic skill, technical mastery, and common se
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Founder Snippetz Lab... • 7m
I’m building an AI-first architectural engine that converts natural language prompts into parametric, code-compliant floor plans. It's powered by a fine-tuned Mistral LLM orchestrating a multi-model architecture — spatial parsing, geometric reasonin
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Founder | Agentic AI... • 1m
Real Agentic AI is a multi-layered system, where each layer solves a specific challenge from reasoning to compliance: 1. LLM (Core Reasoning) – Handles language understanding and generation. Alone, not enterprise-ready. 2. RAG (Retrieval Layer) – G
See MoreFounder | Agentic AI... • 1m
Most people miss these principles while building AI agents. I’ve explained everything that you should keep in mind. 1. Never run an agent without clear context. 2. Define who the agent is and what it is responsible for. 3. Always log inputs, action
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AI Deep Explorer | f... • 10m
LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance
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