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Model文心大模型5.1 / ERNIE

ERNIE (Wenxin Large Model)

ERNIE (Wenxin Large Model) is a series of large-scale language models developed by Baidu, built on deep learning and pre-training technologies. The series supports natural language understanding, text generation, multi-turn dialogue, code generation, and multimodal processing. It is widely applied in search, content creation, intelligent customer service, and enterprise intelligence scenarios. ERNIE serves as the core foundation model of Baidu's AI strategy and is continuously iterated, with API services available to developers and enterprises.

Timeline (last 90 days)

Oct 24

The Xiaodu Z20 Plus learning machine is equipped with a 13.3-inch screen and integrates the ERNIE large model to provide an AI teacher companion learning feature.

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Oct 24

The ERNIE large model is a series of large language models developed by Baidu, with natural language understanding, multi-turn dialogue and content generation capabilities.

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Oct 24

In the learning machine scenario, the ERNIE large model is used to parse problems, generate step-by-step explanations, and adjust answers based on the child's follow-up questions.

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Oct 15

In "chip-cloud-model-agent," chip refers to self-developed AI chips such as Kunlun chips; cloud refers to Baidu AI Cloud; model refers to the ERNIE series of large models and their toolchain; and agent refers to the agent layer.

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Oct 12

Baidu's "Chip-Cloud-Model-Agent" framework corresponds to four levels: Kunlun Chip AI chips, Baidu AI Cloud, the ERNIE large model series, and intelligent agents and end-user application products.

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