(LLMs). Generative AI’s ability to produce new original content appears to be an emergent property of what is known, that is, their structure and training. So, while there is plenty to explain vis-a-vis what we
Understanding the pros and cons of VGA helps explain its enduring presence: Advantages: Widespread compatibility with older devices Simple, robust connector design No licensing fees, leading to lower costs Analog signal allows for some flexibility in timing and resolutions VGA adapters enable connections...
Chain-of-thought promptingaims to improve language model's performance by structuring the prompt to mimic how a human might reason through a problem. Queries using this technique use phrases like "explain your answer step-by-step" or "describe your reasoning in steps," with the aim of generati...
is a growing area of interest in AI research. Lack of explainability presents a potential stumbling block to using AI in industries with strictregulatory compliancerequirements. For example, fair lending laws require U.S. financial institutions to explain their credit-issuing decisions to loan and cr...
Mobile payment revolutionizes how we pay for things. It replaces cash and traditional credit cards with payment apps on smartphones, wearables, and contactless money cards. In this article, we explain how that works, and the benefits and challenges of mobile payment. ...
Explain how iteration is used in the context of databases? In the context of databases, iteration is often employed when retrieving and processing large amounts of data. For instance, when executing a database query, you can iterate through the result set to fetch and manipulate individual rows...
The convolutional layer uses a mathematical operation called convolution to identify patterns within an array of pixel values. Convolution occurs in hidden layers, as can be seen in Figure 3. This process is repeated multiple times until the desired level of accuracy is achieved. Note that the ...
AI interpretabilityhelps people better understand and explain the decision-making processes of AI models. Interpretability is abouttransparency, allowing users to comprehend a model's architecture, the features it uses and how it combines them to deliver predictions. While some models are inherently inte...
We'll also explain the 2 main types of competitive marketing intelligence and cover the steps necessary for this business strategy to be effective. Lastly, we'll provide several ways to conduct this type of research to improve your business decisions. ...
Meanwhile,AI systems are prone to bias, and can often give incorrect results while being unable to explain them. Complex models are often trained on massive amounts of data -- more data than its human creators can sort through themselves. Large amounts of data often contain biases or incorrec...