Low-code tools have opened the doors for anyone — not just developers — to build smart, AI-powered systems. In this guide, I’ll walk you through how to build a fully functional AI data analyst agent using Flowise. The agent will be able to analyze a CSV dataset and answer questions about it using SQL —…
Retrieval-Augmented Generation (RAG) enhances LLM text generation by incorporating external knowledge sources, making responses more accurate, relevant, and up-to-date. RAG combines an information retrieval component with a text generation model, allowing the LLM to access and process information from external databases before generating text. This approach addresses challenges like domain knowledge gaps, factuality issues, and hallucinations often…
Large language models originated from natural language processing, but they have undoubtedlybecome one of the most revolutionary technological advancements in the field of artificial intelligence in recent years. An important insight brought by large language models is that knowledgeof the world and languages can be acquired through large-scale language modeling tasks, andin this way, we…
Just two years ago, I had zero experience in artificial intelligence. I didn’t come from a technical background, and I didn’t know how to code. But I taught myself how to build AI agents—one step at a time. Fast forward to today, I’ve: Generated over $5 million in revenue through multiple AI-focused businesses Grown my YouTube channel…
Prompt Engineering Guide Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of…
Course on Large Language Models NOTE: You’re only meant to change code marked with “# TODO:” Table of Contents Setting Up API Key Configuration Connecting to OpenAI API Exploring the API Creating Chat Completions Understanding Completion Parameters Prompt Engineering Crafting Effective Prompts Strategies and Best Practices Advanced Techniques Utilizing Embeddings Function Calling in LLMs Extras…
