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Exploring the pros and cons of cloud-based large language models

CIO

As a result of ongoing cloud adoption, developers face increased pressures to rapidly create and deploy applications in support of their organization’s cloud transformation goals. Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them.

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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.

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Optical technology enabling the growth of artificial intelligence

CIO

In order to predict future developments for the good of all, we will need to absorb and analyze information on an unprecedented scale. Artificial intelligence (AI) has a pivotal role to play. Consider asynchronous distributed learning, in which AI systems in diverse domains collaborate and share knowledge.

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Unlocking AI: Machine learning as a service

CIO

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. In response to this challenge, vendors have begun offering Machine Learning as a Service (MLaaS).

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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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India’s advisory on LLM usage causes consternation

CIO

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

This whitepaper reviews lessons learned from applying AI to the pandemic’s response efforts, and insights to mitigating the next pandemic. Download this whitepaper to learn about: Development of AI standards for pandemic models that will be used in future pandemic responses. Modernization of U.S.

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely. Dashboard design do’s and don’ts.