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Thomas Peter Berntsen

Technology News & Politics

© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

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Gratis
kaffe
Veninde

Kultur

Bus Sko
hjem på
200 m tilbud

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© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

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© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

Mobilplatform
Webplatform No-tech
Åbent API Åbent API Hardware-
Forretningslogik På tværs af platform
mobile enheder Åbent API

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© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

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© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

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© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

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© 2008 - OhNoWire ApS - All rights reserved - www.ohnowire.com

Forventet prototype:
Q4 2008

Closed beta :
Q1 2009

Vi søger:
Strategiske samarbejdspartnere
samt investorer
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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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The integration landscape is changing rapidly with the introduction of technologies like GraphQL, gRPC, stream processing, iPaaS, and platformless. However, not all existing applications and industries can keep up with these new technologies. Certain industries, like manufacturing, logistics, and finance, still rely on well-established EDI-based message formats. Some applications use XML or CSV with file-based communications, while others have strict on premises deployment requirements. This talk focuses on how Ballerina's built-in integration capabilities can bridge the gap between "old" and "new" technologies, modernizing enterprise applications without disrupting business operations.

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