iFlytek: The Spark Cognitive AI large model V1.5 will be released tomorrow, and the supporting app will be launched simultaneously

IT Home News on June 8, iFlytek issued an announcement announcing that the company will hold the "iFlytek Spark Cognitive Large Model V1.5 Press Conference" at 14:00 on June 9, during which " "iFlytek Spark Cognitive Large Model" new progress, and released the supporting "Spark" App and "Spark Assistant Center".

▲ Picture source iFlytek

According to reports, the "iFlytek Spark Cognitive Big Model" V1.5 has made certain breakthroughs in open question and answer, and its multi-round dialogue and mathematical capabilities have been upgraded. In addition, the model's "text generation", "language understanding", "Logical reasoning ability" has been continuously improved.

At the press conference, iFlytek announced that the Spark cognitive large model will be further commercially implemented in the fields of learning, medical care, industry and office, and the specific results will also be announced. At the same time, the company will also launch the Spark App to enhance the mobile interactive experience. By establishing the Spark Assistant Center, we aim to create a fast assistant that can cover work and life scenarios, and contribute to creating a new ecosystem of human-machine collaboration and co-creation.

IT House previously reported that iFlytek released the iFlytek Spark cognitive model on May 6, which has text generation, language understanding, knowledge question and answer, logical reasoning, mathematical ability, coding ability, and multi-modal ability7 Great core competencies. This large-scale model has been successfully used in many fields and products such as education, office, vehicle, and digital personnel.

▲ Picture source iFlytek

Officially stated that from the internal testing to the release of the company's Spark large model, it has gained market recognition. "Chinese has surpassed ChatGPT" and is "far ahead among domestic large models." At the same time, in terms of applications, the company has education, medical, Data accumulation in finance, automobile and other industries is expected to improve the unit price of projects or single customers through AI model access.

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