How it work
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WHITE PAPER
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NS3.AI employs a systematic data acquisition framework to aggregate real-time, multidimensional data from the dynamic cryptocurrency market, enabling Large Language Models (LLMs) to generate insights based on the latest trends. Data is sourced from crypto exchanges, on-chain analytics firms, blockchain explorers, news media, forums, communities, and crypto intelligence agencies. Using Natural Language Processing (NLP) techniques and TF-IDF analysis, raw data is refined into a structured format, ensuring seamless integration into NS3.AI’s AI-driven analytical engine.
NS3.AI's AI-driven data search engine leverages advanced Natural Language Processing (NLP) techniques to extract key features from news content, initiating a dynamic polling mechanism to identify optimal data sources. This process involves comprehensive querying and analysis of various data types, including natural language and time-series data, to derive the most relevant insights. Additionally, an augmentation framework enhances data coverage, addressing cognitive gaps that Large Language Models (LLMs) may not inherently recognize.
NS3.AI leverages the inference capabilities of trained AI models to deliver highly customized market analyses. These insights encompass news summarization, market psychology, historical case studies, investment strategies, ripple effect assessments, and comprehensive market analysis. By integrating real-time market dynamics, NS3.AI optimizes its insights to enhance strategic decision-making in the highly complex cryptocurrency landscape.
NS3.AI ensures rapid adaptation to market fluctuations through continuous training and real-time data integration. The system undergoes regular performance evaluations, refining model accuracy and efficiency via ongoing optimization tasks, including reassessing data source reliability. This intelligent iterative learning framework enables NS3.AI to deliver adaptive, high-precision insights, ensuring that its analytics evolve in response to dynamic cryptocurrency market conditions.
NS3.AI leverages OpenAI’s latest Reasoning model, OpenAI o3-mini, Reasoning models, like OpenAI o3-mini, are new large language models trained with reinforcement learning to perform complex reasoning. Reasoning models think before they answer, producing a long internal chain of thought before responding to the user. Reasoning models excel in complex problem solving, coding, scientific reasoning, and multi-step planning for agentic workflows. Check out the benchmarks of OpenAI o3-mini here
The operating principles of NS3.AI utilize OpenAI o3-mini as the core engine, encompassing stages of large-scale data set collection and preprocessing, AI data search engine, insight generation, and continuous learning and model optimization to provide insights to crypto market participants. In the complex and dynamic crypto market, NS3.AI breaks down information barriers and enhances the quality of decision-making for users by delivering the latest information and in-depth insights.
The core of this system is the real-time collection and analysis of reliable data by trained AI Agent. Continuous model optimization and user experience improvements ensure the sustainable development of the AI Agent, enhancing the future of the crypto market.
NS3.AI’s unique operation allows it to adapt to market changes and consistently offer valuable insights and services to all market participants. This ultimately improves information accessibility, and transparency, and enables more informed and effective decision-making in the cryptocurrency market.
