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Praveen Kumar

Tecnología Empresariales

ACCOUNTING STANDARD - 6 DEPRECIATION ACCOUNTING J.P., KAPUR & UBERAI

OBJECTIVE ,[object Object],J.P., KAPUR & UBERAI

DEFINITIONS ,[object Object],J.P., KAPUR & UBERAI

DEFINITIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],J.P., KAPUR & UBERAI

DEFINITIONS ,[object Object],[object Object],J.P., KAPUR & UBERAI

ASSESSMENT OF DEPRECIATION ,[object Object],[object Object],[object Object],[object Object],J.P., KAPUR & UBERAI

METHODS FOLLOWED ,[object Object],[object Object],J.P., KAPUR & UBERAI

DISCLOSURE REQUIREMENTS ,[object Object],[object Object],[object Object],[object Object],[object Object],J.P., KAPUR & UBERAI

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Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Zilliz

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