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(Beijing, April 12, 2024) Today, Evernote announced that its self-developed large language model is named "Impression Large Model" and has been developed according to The "Interim Measures for the Management of Generative Artificial Intelligence Services" and relevant laws and regulations have completed model filing to provide more users with intelligent knowledge management services.
As a leading manufacturer of productivity tools, Evernote always adheres to technological innovation to bring users a better knowledge management experience. Evernote's research institution focusing on the field of artificial intelligence - Evernote Research Institute was established in 2018. It continues to work in the fields of natural language processing, neural network algorithms and other fields. Since 2018, it has successively launched intelligent recommendations, intelligent tags, intelligent summaries, and knowledge graphs. and a series of core product functions driven by artificial intelligence.
In March 2023, the Impression Research Institute launched the first self-developed AIGC platform focusing on knowledge management based on its continuous attention and research in the AIGC field. The large language model in the field - "Impression Large Model", and empowers the "Impression AI" service, launching a public beta test. Users can experience the experience in Evernote's "Evernote", "Verse" and other software, as well as smart hardware products such as "EverPAPER" and "EverBUDS". "Impression AI" provides knowledge management scenarios such as content generation, semantic understanding, and document analysis.
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Evernote App An "AI assistant" is launched within the terminal, allowing users to "dialogue" with their own authorized notes, acquire new knowledge from past accumulation through AI sorting, and have an exclusive personal "knowledge assistant".
lLaunched "AI Reading Assistant", using AI capabilities to empower the impression "Clip®" function favored by users, one-click reading, intelligent generation Full text summary, key points, keywords, article word count, reading time and other information improve the efficiency of fragmented reading. l "AI Read for Me" supports multi-file analysis, intelligently analyzes attachments in notes and multiple files in the file library at the same time, and also supports uploading multiple local files at the same time. Intelligent analysis can be done on PDF and Word files. l "AI helps me write" continues to enrich creative scenarios. It has supported more than 20 styles of writing and language style conversion, and has also optimized the default prompt copy to lower the threshold of use and facilitate a wider range of users to get started. Evernote is committed to exploring and expanding the field of "large models and massive data" through continuous product upgrades. The "AI Assistant" capability is online to further assist Evernote users in activating private high-value data. At the same time, as the computing power of end-side AI continues to improve, Evernote will efficiently combine end computing and cloud computing to conduct hybrid model training and deployment to ensure computing efficiency and optimize data processing and storage. Taking into account the unique advantages of Evernote data being saved offline, it empowers users to explore the value of their own data assets and provide more efficient and secure AI services and experiences. The development of new productive forces requires high-quality talents to promote it. To become a promoter of new productive forces, one must have the necessary knowledge literacy and application skills, a keen grasp of cutting-edge science, and the ability to practice the practical application of disruptive scientific and technological innovation knowledge. Evernote uses the massive data of the Impression Big Model to help knowledge workers expand the breadth and depth of their knowledge, gain momentum for the development of new productive forces, and become a platform that empowers thousands of industries. A new quality productivity platform.
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