AI Model Context Window Explained: Tokens, Memory, Limits and Long-Context AI
When people say that an AI model has a 128K, 200K, or 1 million token context window, it is easy
AI Inference: How AI Models Generate Responses
When you type a question into an AI chatbot and receive an answer a few seconds later, a large amount
Multimodal AI Explained: How AI Understands Text, Images, Audio and Video
Traditional AI systems were usually designed around one type of information. A computer vision model could analyze images. A speech
How AI Coding Assistants Generate Code
AI coding assistants can now generate functions, write complete components, explain unfamiliar code, find bugs, create tests, and even modify
RAG vs Fine-Tuning: What Is the Difference?
When building an AI application, one question comes up very quickly: Should you use Retrieval-Augmented Generation (RAG), or should you
AI Hallucinations: Why AI Gives Wrong Answers
Artificial intelligence can write surprisingly convincing answers. It can explain technical concepts, summarize documents, generate code, and answer questions in
How Large Language Models Work: From Training Data to AI Responses
Large language models have become the technology behind many of the AI tools people use every day. Chatbots, coding assistants,
Generative AI vs Traditional AI: What Is the Difference?
Artificial intelligence is not a new technology. For decades, AI systems have been used to detect patterns, classify information, make
AI Agents: How They Work and Why They Matter
Artificial intelligence has changed quite a lot in a short period of time. Earlier, most AI applications were designed to
Can AI Destroy Humans? The Real Risk Behind Artificial Intelligence
Artificial intelligence is becoming more powerful every year. AI can write code, generate images, analyze information, control software, and perform