Dirk Van Meerveld

Hi and welcome to this course on all the newest updates from OpenAI. In this tutorial series, we’ll be looking at all the updated API’s and functionality through practical examples. There is lots of really cool stuff to go over here so I hope you’re ready and excited to go. I’ll see you in part

Welcome back to part 6! In this part, we’re going to look at the LangChain Expression Language (LCEL) for chaining together elements to create an LLM chain that we can run. You’ve seen this syntax briefly in part 1 but we haven’t gone much into it after that. In this part, you will learn how

Hi and welcome back! In this part, we’re going to be building our own custom agent from scratch. So far the whole agent may have seemed a bit magical as it just runs off reasoning back and forth on its own. In this part we’re going to really understand how an agent works and how

Welcome back to part 4. In this part, we’ll look at giving our agent access to the entire internet. Not just Google or DuckDuckGo or Wikipedia, but the ability to open and read any web address we feed it. Having looked at tools in the previous part, in this part, we’ll be looking at making

Welcome back to part 3 where we’ll take a look at LangChain agents. This is where LLMs like ChatGPT start to get really cool and also a bit scary at the same time. We’re going to give the decision-making powers to ChatGPT and let it decide which action it needs to take. An action can

Welcome back to part two, where we’re going to ‘chat’ with an entire book! We’ll be able to ask a textual question and we’ll receive a textual response based on the information inside the book. Besides being really cool, what are the practical real-world use cases for this? Imagine you’re a writer, and you are

Welcome to this tutorial series on LangChain. My name is Dirk van Meerveld, and it is my pleasure to be your host and guide for this tutorial series! We’re going to be using LangChain to further improve our ChatGPT superpowers and explore more cool ways in which we can put these powerful technologies to practical

Hi and welcome! I’m pleased to introduce this course on the Python LangChain library for working with Large Language Models. We’ll be using LangChain to greatly increase our ChatGPT superpowers and look at cool, but also real-world practical applications. Even though we’ll be using ChatGPT in this series, you will also be able to apply

💡 Full Course with Videos and Course Certificate (PDF): https://academy.finxter.com/university/openai-api-function-calls-and-embeddings/ Welcome back to the final part of this tutorial series. In this part, we’ll be looking at simple sentiment analysis using embeddings. For most text classification tasks, fine-tuned machine learning models will do better than embeddings, because they have been meticulously tuned and trained on