AI, Machine Learning, Reinforcement Learning, and MLOps Articles

Learn more about AI, machine learning, reinforcement learning, and MLOps with our insight-packed articles. Our AI blog delves into industrial use of AI, the machine learning blog is more technical, the reinforcement learning blog is industrially renowned, and our mlops blog discusses operational ML.

Part 4: How to Deploy a ChatGPT Model or LLM

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Author
Natalia Kuzminykh
Associate Data Science Content Editor

In our previous articles, you learned how to build and train your personal ChatGPT model (large-language model). However, it’s important to understand that these models are merely components within a larger software landscape. After achieving adequate performance in a controlled environment, the next step is to integrate it into your broader system.

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Part 3: Training Custom ChatGPT and Large Language Models

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Author
Natalia Kuzminykh
Associate Data Science Content Editor

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.

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Part 2: An Overview of LLM Development & Training

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Author
Natalia Kuzminykh
Associate Data Science Content Editor

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.

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Part 1: Introduction to Large Language Models and ChatGPT

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Author
Natalia Kuzminykh
Associate Data Science Content Editor

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).

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MLOps in Insurance

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Author
Dr. Phil Winder
CEO

Tractable.AI is a leading insure-tech company based in the UK and has made significant strides in the motor vehicle insurance sector by leveraging AI technologies. Their innovative approach has allowed them to automate various aspects of the insurance lifecycle, including the complex process of loss adjustment. This AI-driven strategy has not only increased their operational efficiency but also enhanced their service delivery, making them a preferred choice for many customers.

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Reinforcement Learning In Finance

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Author
Dr. Phil Winder
CEO

Our financial client are based in the UK. They specialize in providing services to the finance industry. Their data science team embarked on a project to leverage reinforcement learning within their product offering. Winder.AI, world-leading authors and experts on reinforcement learning, helped them deliver their POC into production. Read on to find out more.

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