Technical Repository
Our Technical Repository highlights RNC’s cutting-edge tools, frameworks, and research driving AI innovation across cybersecurity, renewable energy, and smart infrastructure. These proprietary resources reflect our commitment to developing practical, scalable solutions that address real-world challenges.
In addition to our in-house work, the repository features a curated selection of influential AI technical papers and research shaping the future of the field. This living archive serves as a knowledge hub for clients, collaborators, and researchers seeking insight into the evolving AI landscape.
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Abstract: The fast evolution of artificial intelligence frameworks has resulted in the creation of increasingly sophisticated large language models (LLM), ChatGPT being the most famous one. This study paper dives into this LLM with a case study of ChatGPT’s architecture and provides a thorough comparative analysis of its numerous versions, tracking its history from its conception to its most recent incarnations. This research intends to give a full knowledge of the model’s history by investigating the underlying mechanisms and enhancements provided in each edition.
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Transformer Neural Network architecture of ChatGPT
An architectural diagram of ChatGPT
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"The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need."
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Open Source Models - Qwen3-235B-A22B
Alibaba's Qwen3, is one of the most powerful new open source models, which has risen to the top of the LiveBench leaderboard, which evaluates models on tasks like math, coding and data analysis. The model, which Alibaba released for public use, exemplifies how open development is expanding access to powerful AI.
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