The AI-01 module is equipped with an offline voice chip and supports the parsing of up to 50 offline voice instructions. It can quickly and accurately recognize the user's voice instructions without relying on a network connection. Even in environments with poor network signals or no network at all, the device can still operate stably, providing users with intelligent that respond promptly. AI-01 supports the operation of large models and can achieve seamless integration with advanced large language models. With the powerful language understanding and generation capabilities of large models, the device can realize more intelligent and natural human-computer interaction. Whether it is the solution to complex problems, the generation of text content, or the smooth progress of multi-round dialogues, all can bring users a more intelligent and efficient service experience. The core WIFI processor adopts the high cost-performance chip ESP32-C2. This chip integrates an enhanced RISC-V series 32-BIT core processor with on-chip in a smaller-sized package. ESP-C2 has complete WI-FI network functions. It can be used independently or run as a slave on other host MCUS. The A1-01 module supports the standard IEEE802.11B /G/E/I protocol as well as the complete IP protocol stack. Users can use this module to add networking functions to existing devices, or build an network controller. The AI-01 module provides rich interfaces, which can be conveniently connected with sensors, controllers and other devices to achieve interconnection and collaborative work among devices. At the same time, it has excellent scalability and can be easily upgraded and expanded in function according to technological development and application requirements, providing a strong for the continuous development of intelligent devices. Type:for Xiaozhi AI Intelligent Development Board Color:Black Material:ABS Package Contents: 1 * for Xiaozhi AI Intelligent Development Board kit Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.