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10
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English
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July 27, 2025
This comprehensive guide, 'Book Structure: Building a Prompt-Driven LLM 3D Studio in Python with Cursor' by Vikram Singh Sankhala, empowers Python developers, technical artists, and AI practitioners to construct their own independent, AI-augmented 3D studio from scratch. Moving beyond the constraints of traditional engines like Unity or Blender, the book provides a step-by-step blueprint for integrating Large Language Models (LLMs) and prompt-based code generation into a custom 3D environment. Readers will learn to build a modular, extensible 3D studio using Python, PyQt6, and PyOpenGL, focusing on practical application development from environment setup and core rendering to sophisticated LLM integration for scene manipulation and automation. The book's core motivation is to foster creative independence and democratize advanced 3D creation by fusing AI with interactive development. It aims to demystify the process of building intelligent tools, enabling readers to become architects of their own creative software. By mastering prompt-driven programming, readers will gain the ability to generate, modify, and automate 3D assets and workflows using natural language. Sankhala emphasizes practical mastery, encouraging experimentation and open innovation within the 'Solinexta 3D' ecosystem, ultimately inspiring readers to become pioneers in the next generation of AI-assisted digital creation and toolmaking.
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Start Writing NowVikram Singh Sankhala offers a unique analytical perspective, merging Vedic astrology with expertise in multi-modal AI, agentic systems, and data-driven solutions. His innovative approach bridges ancient knowledge systems with cutting-edge technology, making complex astrological concepts accessible through modern scientific frameworks and visualization techniques. Sankhala's mission is to help readers unlock timeless insights using today's analytical tools, viewing Vedic astrology as humanity's oldest data science.
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Solinexta Cloud Master: Deploying Websites and ML Models with Kubernetes and Streaming Pipelines
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