-檔案大小減少52% # chatIFT: The Advanced Native Generative Engine for Scratch chatIFT is a high-performance, next-generation language model built entirely from the ground up within the Scratch environment. It operates without any external APIs or calls, relying solely on optimized native logic blocks to simulate complex linguistic behavior. --- ### THE REASONING ENGINE (v6.0+) Unlike standard chatbots that rely on fixed scripts, chatIFT implements a sophisticated Reasoning Mode. The model analyzes and decomposes prompts into logical steps before generating a response, ensuring a higher degree of interaction depth. - Context Awareness: Implements a sliding-window memory system that tracks the previous 0-5 interactions to maintain conversational coherence. - Markov-Chain Dynamics: Driven by a probabilistic generative engine. Every response is calculated in real-time, ensuring dynamic and non-repetitive dialogue. ### IFT i5-MATH ADMIN This version features one of the most robust math parsers developed on the Scratch platform. - Expression Parsing: Capable of handling multi-step equations including standard order of operations and exponents. - Natural Language Processing: Supports English-based mathematical prompts such as "What is the result of ten divided by two?" - Logic Precision: Designed to mitigate common string-handling errors and computational limitations within Scratch. ### PARAMETER CONTROL AND DEVELOPER TOOLS chatIFT provides direct access to the inference parameters used in professional large language models, allowing for surgical precision in output control: - Temperature: Adjusts the balance between logical consistency and creative variance (Range: 20-90). - Top-K and Top-P Sampling: Regulates word-selection diversity to refine the linguistic personality. - N-Gram Management: Defines the sequence depth (0-8) to control the structural coherence of the output. --- ### TECHNICAL ADVANTAGES 1. Dynamic Generation: The system does not use static rule-books. Every word is a statistical prediction based on current context. 2. Native Linguistic Logic: Features intelligent pronoun swapping and intent extraction for natural human-machine interaction. --- Built by developers for those who value technical depth. Project initiated on July 31, 2024. Continuous iteration. Pure logic.
