modeling-testing 
CIO Business Intelligence
MARCH 27, 2024
Organizations can also start testing the algorithms in their environments and check their supply chain partners are doing the same. The types of models we run in the bank every day are closely matched to the types of models a quantum computer can consume.”
Analytics Vidhya
MARCH 5, 2024
The latest generation of the popular chatbot and AI model comes in three versions: Opus, Sonnet, and Haiku, each serving different markets and purposes. When they tested Claude 3 Opus, the biggest version, […] The post Claude 3 is Here! New AI Model Leaves OpenAI’s GPT-4 in the Dust appeared first on Analytics Vidhya.
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O'Reilly on Data
MARCH 26, 2024
TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.
CIO Business Intelligence
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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DataKitchen
MARCH 12, 2024
We kept adding tests over time; it has been several years since we’ve had any major glitches. DataKitchen helped us completely transform our operations by broadening our testing definition. Tests assess important questions, such as “Is the data correct?” Data errors can cause compliance risks.
CIO Business Intelligence
MARCH 11, 2024
It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment. Their requirements lead to excessive bugs; Developers do not cover their code with low-level tests.
Advertiser: ZoomInfo
Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. It’s no surprise given the non-deterministic nature of LLMs.
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How to test AI ASR solutions. How to improve model accuracy with training data. Get the information you need to ensure your evaluation experience is efficient and yields the data you need to make your purchasing decision. Download our solution brief now.
Speaker: John Cutler, Product Evangelist and Coach at Amplitude
Even brick and mortar businesses are integrating more digital approaches to CX -- testing out loyalty programs and subscription-based models. How product data can optimize your subscription and loyalty models. The reality is that with the new wave of digital considerations, navigating expansion can be a tricky subject.
Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org
As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam. These methods are better than nothing, but how can we improve on this model? Data shows that the best product teams are shifting from this mindset to a continuous one.
Advertiser: Data Robot
Download this whitepaper to learn about: Development of AI standards for pandemic models that will be used in future pandemic responses. Enablement of swift and safe innovation in rapid antigen tests. Modernization of U.S. health reporting standards.
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