CIO
NOVEMBER 16, 2023
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. That question isn’t set to the LLM right away. And it’s more effective than using simple documents to provide context for LLM queries, she says.
CIO
MARCH 5, 2024
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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CIO
MAY 6, 2024
The Data and Cloud Computing Center is the first center for analyzing and processing big data and artificial intelligence in Egypt and North Africa, saving time, effort and money, thus enhancing new investment opportunities.
CIO
DECEMBER 6, 2023
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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In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
CIO
MAY 10, 2024
The bill does not limit AI’s definition to any specific area, such as generative AI, large language models (LLMs), or machine learning. Instead, any means of artificial intelligence, including using an optical character reader (OCR) to scan resumes, is covered.
CIO
MAY 1, 2024
In a copy of the letter obtained by CIO.com, Google urges the government to expand the list of occupations covered under Schedule A to include cutting-edge jobs in artificial intelligence and cybersecurity, fields for which the company says it struggles to find enough qualified US candidates to keep pace with its ambitious projects.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
Advertiser: Data Robot
The importance of governance in ensuring consistency in the modeling process. How MLOps streamlines machine learning from data to value. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.
Advertiser: Data Robot
To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!
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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