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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. Deploying public LLMs Dig Security is an Israeli cloud data security company, and its engineers use ChatGPT to write code. It’s blocked.”

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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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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. . That Qdrant has now raised $7.5

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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. Training GPT-3 was heralded as an engineering marvel.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Generative AI in enterprises: LLM orchestration holds the key to success

CIO

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. We think this is a mistake, as the success of GenAI projects will depend in large part on smart choices around this layer.

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The AI continuum

CIO

ChatGPT has turned everything we know about AI on its head. Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. In many ways, ChatGPT put AI in the spotlight, creating a widespread awareness of AI as a whole—and helping to spur the pace of its adoption.