Delivering production-ready LLMs for chatbots, question-answering and more.
I would recommend Winder.AI because they are experts with real-world experience, led by Phil Winder, who is well-respected in the industry. They are quick to respond, quick to scale up and they deliver when you need them to.
We've been developing text-based language models for nearly a decade. Today we offer a range of services to suit your specific needs.
We've worked with hundreds of amazing people, all over the world.
We specialize in developing enterprise-ready LLM solutions.
Unlike larger, more general purpose IT agencies, we specialize in developing AI solutions. We’re more flexible, more pragmatic and better suited to integrate AI into your product.
We combine our bespoke AI solutions with cloud-agnostic or on-premise software engineering to produce production-ready large language models.
We exist to help companies like yours build better products. We collaborate closely with your internal engineering teams to both upskill and deliver pragmatic results.
Winder.AI is a flexible, decentralized, independent AI company that can deliver full-stack solutions. LLMs provide a wide range of experiences via human-like interaction.
Intelligent chatbots, or agents, are able to perform a wide range of roles, including in sales, customer service and HR.
Integrate your internal knowledge bases (through your website, documents and emails, Slack, SharePoint, Salesforce, HubSpot, etc.) to empower your automated agents.
Expose corporate knowledge via streamlined question-answering systems to make your workforce more efficient, e.g. QA platform for Shell.
Deliver next-generation intelligent products by dynamically collating and disseminating information.
Case study
Interos, a leading supply chain management company, partnered with Winder.AI to enhance their machine learning operations (MLOps). Together, we developed advanced MLOps technologies, including a scalable annotation system, a model deployment suite, AI templates, and a monitoring suite. This collaboration, facilitated by open-source software and Kubernetes deployments, significantly improved Interos’ AI maturity and operational efficiency.
Case study
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.
Case study
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.
ChatGPT
Large language models (LLMs) are powerful but demand significant resources, making them less ideal for smaller setups. Small language models (SLMs) are a practical, resource-efficient alternative, offering quicker deployment and easier maintenance. This article discusses the benefits and applications of SLMs, focusing on their efficiency, speed, robustness, and security in contexts where LLMs are not feasible.
ChatGPT
This article delves into the nuances of using large language models (LLMs) with large context windows, highlighting the benefits and challenges they present, from enhancing coherence and relevance to demanding more computational resources. Learn practical strategies for prompt design, maintaining narrative coherence, and utilizing attention mechanisms effectively.
ChatGPT
This article discusses the concept of token counts in large language models (LLMs) and their impact. Tokens are fragments of language used for text processing, representing words, parts of words, or punctuation marks. Code walkthroughs demonstrate how to calculate token counts and examples provide insight.
This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.
ChatGPT is a product from OpenAI. Under the hood they use large language models (LLM) to generate responses. As an AI agency, we create custom LLMs and generative-AI products for our clients.
Large language models are deep learning models that are pre-trained in a supervised manner, over large text-based datasets. They are used to transform text into a vector (a.k.a. an embedding) for recommendation tasks, or for generation by predicting the next word. Check out our blog series introducing LLMs.
ChatGPT is based on a large language model trained by OpenAI. It works by repeatedly predicting the next word when given a context. The model internalizes knowledge by learning from a wide variety of knowledge graphs like Wikipedia. Check out our talk ChatGPT from Scratch.
Large language models, like those at the heart of ChatGPT can be customized. This process of fine-tuning, allows you to update the machine learning model weights with new knowledge, using your data. Retraining a model from scratch is best avoided because it can incur prohibitive costs. Check out our talk ChatGPT from Scratch.
The team at Winder.AI are ready to collaborate with you on your llm development project. We tailor our AI solutions to meet your unique needs, allowing you to focus on achieving your strategic objectives. Fill out the form below to get started.
