Who Created Generative AI? The People Behind the Tech
Who created generative AI? Trace the decades-long story, from Turing to transformers, and see how the technology reached everyday apps.
Vector Embeddings: How AI Turns Meaning Into Numbers
Vector embeddings let software understand meaning, not just match words. In other words, they turn text, images, or sound into
AI Customer Support Agent: How It Answers Your Questions
An AI customer support agent answers customer questions without a human in the loop. In other words, software now handles
Machine Learning Techniques: How Software Learns From Data
Machine learning techniques let software learn from data instead of fixed rules. In other words, a program spots patterns and
Fine Tuning LLM: How to Teach a Model New Skills
Fine tuning an LLM turns a general model into a focused expert for your own task. In other words, you
ChatGPT Generative AI: How the Chatbot Writes Human-Like Text
ChatGPT generative ai has quickly changed how people write, search, and learn. In other words, you type a question, and
AI Agents for Business: How Autonomous Software Works
AI agents for business plan and act on their own. Learn how they differ from chatbots, where they help teams, how to build one, and the risks to watch.
Chain of Thought Prompting: How AI Learns to Reason
Chain of thought prompting asks an AI model to reason step by step. Learn how it works, see examples, and compare zero-shot and few-shot approaches.
Retrieval Augmented Generation: How AI Grounds Its Answers
Retrieval augmented generation gives an AI model a way to check facts before it answers. In short, the model first
AI Guardrails: How to Keep Language Models Safe
AI guardrails keep a language model helpful, safe, and on topic. Learn how they work, how they stop AI hallucination, and how teams test them with LLM evaluation.