TweetShareSharePin0 Shares The Model Context Protocol (MCP) is designed to facilitate seamless interoperability between AI-driven applications and external data systems. Its architecture consists of several core elements: MCP Clients: These...
Continue readingDiscover how the Model Context Protocol (MCP) standardizes AI integration, enabling secure, modular, and scalable connections between large language models, external data, and services—reducing development complexity and enhancing real-time, context-rich AI experiences.
TweetShareSharePin0 SharesIn an era where visual communication is paramount, understanding how to effectively leverage technology can set you apart. Generative AI tools offer unprecedented opportunities to create stunning visuals that…
TweetShareSharePin0 SharesDo you know how sometimes you’re trying to explain something to a friend, but you’re not quite sure how to get your point across? Well, working with AI is…
TweetShareSharePin0 SharesHey everyone! we’re going to explore how to assess responses from large language models using the RACCCA framework. This framework includes six key elements: relevance, accuracy, completeness, clarity, coherence…
In this article, we want to introduce you to Large Language Models, especially OpenAI’s ChatGPT. We’ll also explore the significance of prompt engineering done responsibly and how it contributes to the ethical and beneficial use of progress in artificial intelligence.