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Iflytek’s new generation of Spark smart blackboard is released: built-in Spark large model V3.5, known as teachers’ “AI assistant”

王林
王林forward
2024-01-31 13:09:13820browse

According to news from this site on January 30, during this afternoon’s iFlytek Spark Model V3.5 launch conference, a new generation of Spark Smart Blackboard with built-in Spark Model V3.5 was released. Officially said that it can Transform Blackboard from a blackboard writing tool into a teacher’s “AI assistant”.

科大讯飞新一代星火智慧黑板发布:内置星火大模型 V3.5,号称教师的“AI 助手”

According to the official introduction, Xinghuo Smart Blackboard has the characteristics of multi-modal understanding and recommendation, all-natural interaction, virtual human assistance, intelligent course recording and sharing, etc. It has a built-in "blackboard synchronization mode". When teachers use chalk to write on the traditional blackboard next to the smart blackboard, the content of the blackboard can be synchronized to the screen. It can also standardize the blackboard writing and intelligently recommend related situational resources such as experiments and micro lessons. .

科大讯飞新一代星火智慧黑板发布:内置星火大模型 V3.5,号称教师的“AI 助手”

This smart blackboard supports direct drawing of three-dimensional graphics, and completes operations such as color filling, expansion, stacking and rotation. It also provides oral dialogue capabilities and intelligent error correction functions for English classes. , Provide science question and answer skills for science classes.

科大讯飞新一代星火智慧黑板发布:内置星火大模型 V3.5,号称教师的“AI 助手”

科大讯飞新一代星火智慧黑板发布:内置星火大模型 V3.5,号称教师的“AI 助手”

科大讯飞新一代星火智慧黑板发布:内置星火大模型 V3.5,号称教师的“AI 助手”

This site reported earlier today that the Spark Cognitive Large Model V3.5 It brings seven major ability improvements: text generation is improved by 7.3%, language understanding is improved by 7.6%, knowledge question and answer is improved by 4.7%, logical reasoning is improved by 9.5%, mathematical ability is improved by 9.8%, coding ability is increased by 8.0%, and multi-modal ability is increased by 6.6%. .

In addition, The language understanding and mathematical capabilities of Spark Cognitive Large Model V3.5 are said to have exceeded GPT-4 Turbo, and the coding capability has reached 96% of GPT-4 Turbo, and multi-modal understanding Reached GPT-4V 91%.

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