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What LinkedIn learned leveraging LLMs for its billion users

CIO

With more than 1 billion users globally, LinkedIn is continuously bumping against the limits of what is technically feasible in the enterprise today. For LinkedIn, this was no different, as its road to LLM insights was anything but smooth, said LinkedIn’s Juan Bottaro, a principal software engineer and tech lead.

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Inferencing holds the clues to AI puzzles

CIO

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images. Inferencing and… Sherlock Holmes???

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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 Here’s a quick read about how enterprises put generative AI to work). That makes it impractical to train an LLM from scratch.

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SAP and Nvidia expand partnership to aid customers with gen AI

CIO

SAP and Nvidia announced an expanded partnership today with an eye to deliver the accelerated computing that customers need in order to adopt large language models (LLMs) and generative AI at scale. Herzig notes that SAP has a large ecosystem of partners and various LLM providers, with new LLMs popping up seemingly every day.

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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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4 ways CISOs can manage AI use in the enterprise

CIO

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. That column may have been the understatement of the year.

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Salesforce rebrands its low-code platform to Einstein 1 Studio

CIO

Salesforce Einstein platform was released in September last year as an open platform that the company developed to enable enterprises to unify their data before developing generative AI-based applications and use cases via low code and no code interface. Builder helps every company configure and customize Einstein Copilot to their business.