What Is ChatGPT and How Does It Relate to LLMs?

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.

What Are Large Language Models (LLMs)?

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 .

How Does ChatGPT Work?

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 .

How Do You Train a Custom ChatGPT Model?

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 .

Large Language Models for Your Business

Delivering production-ready LLMs for chatbots, question-answering and more.

LLM Services LLM Expertise LLM Case Studies FAQ Contact Us

LLM Consulting Services - Large Language Model Development

We've been developing text-based language models for nearly a decade. Today we offer a range of services to suit your specific needs.

Enterprise LLM Development We specialize in delivering enterprise-ready LLM solutions. We've moved LLMs into production for AI companies you already know, e.g. Stability AI, Shell and many more.
LLM Consulting Are you unsure where to start? We're happy to provide a holistic consulting approach to help drive your AI solutions forward. We're able to analyze your business needs, advice on architectural decisions and inform your LLM strategy.
LLM Product Delivery Leveraging our AI product development expertise, it couldn't be easier to produce your new idea. Let our experienced consultants help scale your delivery efforts.
LLMOps Go beyond the POC. Leveraging our MLOps consulting expertise, we can help you deliver LLM production readiness.

The World's Best AI Companies Trust Winder.AI

We've worked with hundreds of amazing people, all over the world.

LLM Development Expertise - Our Sweet Spot

We specialize in developing enterprise-ready LLM solutions.

Dedicated AI Company: 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.
Production Ready: We combine our bespoke AI solutions with cloud-agnostic or on-premise software engineering to produce production-ready large language models.
Collaborative Working: 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.

LLM Solutions - LLM Capabilities

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.

Bespoke AI-Driven Chatbots: Intelligent chatbots, or agents, are able to perform a wide range of roles, including in sales, customer service and HR.
Private Knowledge: Integrate your internal knowledge bases (through your website, documents and emails, Slack, SharePoint, Salesforce, HubSpot, etc.) to empower your automated agents.
Question-Answering: Expose corporate knowledge via streamlined question-answering systems to make your workforce more efficient, e.g. QA platform for Shell.
Summarization and Smart Products: Deliver next-generation intelligent products by dynamically collating and disseminating information.

Multi-Cloud

Any Library

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Selected Case Studies

Some of our most recent work for our clients. You can find more in our portfolio.

2024Case study

Transforming Legal Research with AI Legal Text Analysis

Legal AI assistant improves legal coding efficiency by automating data analysis, reducing workload, and accelerating research.

2023Case study

MLOps in Supply Chain Management

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.

2023Case study

Announcing Stable Audio: A Generative AI Music Service

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.

Recent ChatGPT Articles

Find more articles in our blog.

Oct 21, 2024 Generative AI

Best LLMOps Tools: Comparison of Open-Source LLM Production Frameworks

Discover how to deploy open-source LLMs using LLM agent frameworks, orchestration frameworks, and LLMOps platforms. Learn about serving frameworks like vLLM and Ollama, and explore LLMOps tools that enhance language model performance in production environments.

Apr 24, 2024 ChatGPT

Exploring Small Language Models

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.

Feb 19, 2024 ChatGPT

LLM Prompt Best Practices For Large Context Windows

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.

FAQs - Frequently Asked Questions

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.

Start Your LLM Development Project Now

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.

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