TechHouse Blog
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Part 2: Testing. Testing. 123 Testing Two key AI terms are training models and neural networks. A training model, well, you can train it and test the results, for example, with the OCR software we mentioned above. I have many invoices that I need to bring into my accounting software or ERP software. I can...
Imagine this: You've made it to the front of the line at the coffee shop, and with a laptop in one hand and drink in the other, you head over to the only seat available. As you settle your things and log in, you notice seated across the table is "Neurobot," a sleek, silver-haired AI with an affinity for algorithms.
Explore strategies to prevent AI from amplifying unseen bias and exclusion in organizations. This post discusses the challenges posed by AI tools like Microsoft 365’s CoPilot and AI Builder, and presents practical solutions such as inclusive communication practices, AI ethics guidelines, regular audits, feedback mechanisms, and AI training. Learn how these practices can promote a more inclusive and ethical use of AI in your organization.
Learn about the different CoPilot products, their features, and how they can enhance productivity and creativity. CoPilot products are AI-powered tools that help you solve problems, create content, and research information.
Learn how to use Copilot, a generative AI chatbot that can create content for you, and how to prepare your environment for optimal results.
This blog post discusses the key aspects of managing Azure AI solutions, including routine maintenance, handling updates and changes, monitoring system performance, ensuring continued compliance, and implementing a disaster recovery and backup strategy. The post emphasizes the importance of regular maintenance, staying updated with changes, monitoring system performance, ensuring compliance, and having a robust disaster recovery and backup strategy for successfully managing Azure AI solutions.
This blog post provides a guide on implementing Azure AI Services and shares best practices. It covers setting up the service, integrating it with your application, and testing it. It also emphasizes the importance of securing API keys, handling errors gracefully, and monitoring service usage.
Learn how to use Azure tools to monitor and analyze the performance and impact of Azure AI Services on your business. Find out the best practices and tips to optimize your AI solutions.