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How AI Can Improve Your Annotation Quality?

Smart Data Collective

One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. It involves human annotators using a tool to label images or tag relevant information. Read and learn some essential tips for enhancing your annotation quality.

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Understanding Google Analytics: Making the Most Out of GA for Best Results

Smart Data Collective

In reality, Google Analytics is an incredible tool that can provide you with in-depth understanding of how various aspects of your website are performing, along with information about how different types of visitors behave when they visit your website. Add Annotations. By clicking on that, you will be able to create a new annotation.

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Data Labeling Improves Machine Learning & AI Efficiency

Smart Data Collective

Simply put, data labeling involves annotating data to instruct a model on how to do the same. Tools for labeling data (also known as data annotation ) using AI offer a formal framework for annotation. This makes annotations more effective and reliable, resulting in more accurate models.

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How guardrails allow enterprises to deploy safe, effective AI

CIO

This past February, for instance, a Canadian court ruled that Air Canada must stand behind a promise of a discounted fare made by its chatbot, even though the chatbot’s information was incorrect. We also have to make sure people can’t prompt engineer it to get information on other employees,” Venkataramani adds.

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3 things to get right with data management for gen AI projects

CIO

One being knowledge management (KM), consisting of collecting enterprise information, categorizing it, and feeding it to a model that allows users to query it. During the blending process, duplicate information can also be eliminated. During the blending process, duplicate information can also be eliminated.

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Salesforce debuts gen AI benchmark for CRM

CIO

Salesforce today announced a first-of-its-kind gen AI benchmark for CRM, which aims to help businesses make more informed decisions when choosing large language models (LLMs) for use with business applications. Speed assesses responsiveness and efficiency in processing and delivering information. This is just the beginning,” he says.

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Equinix goes partner prospecting with AI

CIO

In addition, we solicit consolidated access to text documents and PDFs, which provide extensive information on upcoming opportunities and RFPs. Data annotation and inadequately labeled samples for training ML models proved to be the project’s biggest challenge, Bala says.