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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We’re pleased to announce the release of Stable Audio, a new generative AI music service. Stable Audio is a collaboration between Stability AI and Winder.AI that leverages state-of-the-art audio diffusion models to generate high-quality music from a text prompt.
Read moreIn 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.
Read moreThis is a video of a workshop about deep reinforcement learning (DRL). First presented at ODSC London in 2023, it is nearly three hours long and covers a wide variety of topics. Split into three sections, the video introduces DRL and RL applications, explains how to develop an RL project, and walks you through two RL example notebooks.
Read moreThe 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.
Read moreThis guide explores developing Auth0 applications on Cloudflare Pages, focusing on the transition from Node.JS to the V8 runtime and its impact on JavaScript frameworks like Next.JS.
Read moreThe 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).
Read moreTractable.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.
Read moreOur financial client is based in the UK. They specialise 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.
Read moreBacalhau is a project started under Protocol Labs, but has now spun out into Expanso, Inc. Expanso is a leading Web3 innovator specializing in developing next generation decentralized commodity services. This case study, which includes a video presentation, describes the proceeds of this collaboration. The Bacalhau team asked Winder.AI to help them develop a new AI product designed to perform data engineering at web-scale, backed by Web3 technologies.
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