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5 ways to deploy your own large language model

CIO

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model.

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Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO

Large language models (LLMs) are hard to beat when it comes to instantly parsing reams of publicly available data to generate responses to general knowledge queries. The key to this approach is developing a solid data foundation to support the GenAI model.

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When it comes to large language models, should you build or buy?

TechCrunch

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance.

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Explosion snags $6M on $120M valuation to expand machine learning platform

TechCrunch

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. Since then, that open source project has been downloaded over 40 million times.

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Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data

TechCrunch

For many, ChatGPT and the generative AI hype train signals the arrival of artificial intelligence into the mainstream. “Vector databases are the natural extension of their (LLMs) capabilities,” Zayarni explained to TechCrunch. ” Investors have been taking note, too. .

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IT leaders go small for purpose-built AI

CIO

That’s what a number of IT leaders are learning of late, as the AI market and enterprise AI strategies continue to evolve. But purpose-built small language models (SLMs) and other AI technologies also have their place, IT leaders are finding, with benefits such as fewer hallucinations and a lower cost to deploy.

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OctoML raises $28M Series B for its machine learning acceleration platform

TechCrunch

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition.