ChatGPT

Part 3: Training Custom ChatGPT and Large Language Models

Tue Aug 1, 2023, by Natalia Kuzminykh, Phil Winder, in ChatGPT

In just a few years since the transformer architecture was first published, large language models (LLMs) have made huge strides in terms of performance, cost, and potential. In the previous two parts of this series, we’ve already explored the fundamental principles of such models and the intricacies of the development process.

Yet, before an AI product can reach its users, the developer must make yet more key decisions. Here, we’re going to dig into whether you should train your own ChatGPT model with custom data.

Part 2: An Overview of LLM Development & Training ChatGPT

Thu Jul 13, 2023, by Natalia Kuzminykh, Phil Winder, in ChatGPT

The premise of LLMs is beautifully exemplified by products like ChatGPT, that use these models to power conversational interfaces, offering a seamless and engaging chat user experience. In this second part of our series on ChatGPT, we provide an overview of what it’s like to develop against commercial LLM offerings and what it takes to begin developing your bespoke model.

Part 1: Introduction to Large Language Models and ChatGPT

Tue Jul 4, 2023, by Natalia Kuzminykh, Phil Winder, in ChatGPT

The launch of ChatGPT by OpenAI has attracted a lot of interest from people around the world, sparking curiosity not only about artificial intelligence in general but also about the underlying technology that powers this AI chatbot. While fancy terms like Large Language Models (LLMs) and Generative Models may sound complex, at their core, they’re really about helping computers understand and generate human-like text in almost any language (including programming languages).

ChatGPT from Scratch: How to Train an Enterprise AI Assistant

Mon Oct 2, 2023, by Phil Winder, in ChatGPT, Machine Learning, Talk

When: Mon Oct 2, 2023 at 10:00 +0200 Where: Goto Copenhagen 2023 Title ChatGPT from Scratch: How to Train an Enterprise AI Assistant Keywords Large language models, ChatGPT, Artificial Intelligence, Data Science, Machine Learning, Reinforcement Learning, LLM, AI, ML, RL Length 50 minutes including questions. Level Intermediate – some AI experience will be useful Abstract In today’s fast-paced business environment, the demand for intelligent enterprise assistants that can help optimize workflow, handle customer queries, and even automate tasks is at an all-time high.