Welcome to this course on ChatGPT fine-tuning. My name is Dirk van Meerveld and together we will be taking a look at fine-tuning ChatGPT to make our own custom versions of the popular LLM. Before we dive in we’ll take a look at what fine-tuning entails and when we should use it. Why fine-tuning? First […]
OpenAI Fine-Tuning (1/4): Fine-tuning Our Own ChatGPT Model Read More »
Hi and welcome to this course on fine-tuning ChatGPT with the OpenAI API. In this course we’ll not just look at how to deal with the fine-tuning API endpoints itself, but also how to run the fine-tuned model, and most importantly, the data preparation and validation steps so that you will be able to do
OpenAI Fine-Tuning (0/4) Read More »
Hi and welcome to this tutorial series on AutoGen Studio. My name is Dirk van Meerveld, and I’ll be your host and guide for this three part tutorial series where we’ll take a look at AutoGen Studio. 👉 Go Back to the Full Course: Next Level Prompt Engineering with AutoGen Studio AutoGen Studio is an
AutoGen Studio (2/4) – Next-level prompt engineering Read More »
👉 Go Back to the Full Course: Next Level Prompt Engineering with AutoGen Studio Hi, and welcome to this mini-course on AutoGen Studio. AutoGen Studio is a multi-agent framework that will allow us to easily define agents and run them on our LLMs, like ChatGPT. AutoGen Agents and Workflows are very powerful and can autonomously
AutoGen Studio Mini Course (1/4) Read More »
Welcome back to part 5 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 problem-specific data. There is training data, with the correct answers and
Lesson 5 – Sentiment Analysis Using Embeddings Read More »
Welcome back to part 4 of this tutorial series. In this part, we’re going to be looking at embeddings. What is an embedding? Without getting into too deep into algorithms an embedding is basically a numerical (vector) representation of text that makes no sense to us, but makes sense to the computer and allows it
Lesson 4 – Similarity Comparison with Embeddings Read More »
Welcome back to part 3, where we’ll be doing something mind-blowing yet again! In this part, we will be connecting ChatGPT to a database and then using ChatGPT to extract information from the database using only natural language on the end user’s part. This is a very powerful tool that can be used to create
Lesson 3 – Database Querying using ChatGPT Read More »
Welcome to the second part of the tutorial, where we’ll take a deep dive into more complex function calls with parameters, and also look at providing ChatGPT with more than one function at the same time. We will even call multiple functions at the same time within a single ChatGPT call. Course Update Notice With
Lesson 2 – Function Calls with Parameters Read More »
Hi, and welcome. I’m Dirk van Meerveld, and I’ll be your host and guide for this tutorial series, where we’ll be focussing on OpenAi’s ChatGPT function calls and the embeddings API. Function calls will allow us to make ChatGPT even smarter by giving it access to additional information or our own custom functionality through calling
Lesson 1: Function Calls in ChatGPT Read More »
Hi, and welcome back to part 6 of this tutorial series, where we’ll be looking at the new OpenAI Assistant API, which is where things really get wild. For this part of the tutorial, we’ll be using Jupyter Notebooks, as it’s more practical to code interactively and keep our Python kernel running while we add
(6/6) OpenAI API Mastery: Innovating with GPT-4 Turbo and DALL·E 3 – Assistants Read More »