Your Generative AI and Machine Learning Category
An artificial intelligence hallucination refers to when an AI system generates false or illogical information but presents it convincingly as factual. AI hallucinations can be difficult to detect because the language used often appears eloquent & confident even if inaccurate. AI hallucinations stem from large language models that enable AI tools like chatbots to process … Read more
Generative artificial intelligence models have rapidly changed the world we live in. This powerful technology is not just imaginary anymore; it is being utilized to make realistic visuals, engaging music, innovative pharmaceutical discoveries, & groundbreaking scientific solutions. In this complete guide, we will extensively explore the realm of generative AI models (also known as generative … Read more
Bagging & boosting are two distinct ensemble techniques that utilize multiple models to minimize errors & enhance model optimization. Bagging involves combining models trained on different subsets of data, while boosting sequentially trains the model, focusing on the errors made by the previous model. This article will explore the contrast between bagging & boosting. Bagging … Read more
Generative AI, introduced in the 1960s, has gained recent attention due to user-friendly interfaces & the development of generative adversarial networks (GANs) in 2014. This technology enables the creation of authentic images, videos, & audio, raising both opportunities & concerns. Recent advances in transformers & large language models have further propelled generative AI into the … Read more
We are excited to announce the new automated machine learning (automated ML) features now available with Azure Machine Learning service. Automated ML enables the automation of model selection & hyperparameter tuning, significantly reducing the time required to develop machine learning models from weeks or months to just days. This allows more time to be allocated … Read more
Artificial intelligence (AI) is transforming the way we tackle complicated issues & make choices. A key part of AI is local search algorithms, which are important for locating the best solutions for many different problems. In this piece, we will explore the idea of local search in AI – how it works, the different algorithms, … Read more
Since ChatGPT launched in November 2022, it’s been the subject of countless articles. Though the technology has received extensive media coverage, from CNET to CNBC, many people still don’t understand the details behind it. What exactly is ChatGPT and this “Generative AI” that’s being discussed? Will it replace Google? Can it provide accurate information? Most … Read more
Siri, Apple’s revolutionary digital assistant, has transformed the way we interact with our devices. Originally developed at SRI International, Siri became an integral part of millions of Apple products, reflecting major advancements in artificial intelligence and voice recognition technology. This in-depth look at Siri’s history, development, and evolution reveals its profound impact on today’s technological … Read more
Typically, there are certain criteria that show if a process is a good fit for automation using SolveXia. This list of criteria is not complete and meeting all the criteria is not required for a process to benefit from automation (for instance, a high cost of errors could be justification enough to automate). What does … Read more
Power BI is a suite of software tools and applications that work together to transform your disconnected data sources into clear, interactive, and visually compelling insights. Your data could be in an Excel file or a combination of on-premises and cloud data warehouses. Power BI enables you to easily connect to your data, identify important … Read more