Transforming the future, one model at a time.

We are a team of machine learning practitioners with deep data expertise. We help you to get better outcomes with Large Language Models.

About GPTWorks

Who We Are

Get to Know GPTWorks

GPTWorks specializes in providing strategy and implementation services for AI with a focus on Generative Pretrained Transformer (GPT) models. Our team of experts brings deep technical understanding and we're dedicated to helping organizations integrate and make the most of these cutting-edge technologies.

  • Model integration and cost-efficient Open Source GPT model training and deployment
  • AI strategy and consulting
  • Train and fine-tune models without sharing data outside your control

Whether you're looking to build a chatbot, automate content generation, or improve information retrieval, we have the expertise to help you succeed. So if you're ready to harness the power of GPT models and drive your organization forward with AI, contact us today to learn more.

Our Values

Guiding Principles for a Better AI Future

Innovation

At GPTWorks, we are dedicated to staying at the forefront of the rapidly-evolving field of AI and GPT models. We believe in pushing the boundaries of what is possible and continuously exploring new and innovative solutions..

Partnership

We believe in working closely with our clients to understand their unique needs and goals. GPTWorks is a trusted partner, providing guidance and support as they navigate the complex and rapidly-changing world of AI and GPT models.

Excellence.

We are committed to delivering high-quality services and solutions that exceed our clients' expectations. Our team of experts is dedicated to delivering the best possible outcomes. We continually strive to improve our skills and knowledge.

Discover the Power of Fine-tuning: An Overview of Fine-tuning Generative Pretrained Transformer Models

GPT Models

GPTworks Fine-tuning

Fine-tuning allows you to fine-tune large language models (LLMs) on your own custom data. This means that you can take a pre-trained LLM, such as GPT-4 or open source model, and adapt it to your specific needs and domain.

How GPTWorks Fine-tuning works

Understanding your use case: Let us know your fine-tuning or custom knowledge needs including brand tone, output formatting, etc.

Initial consultation: Answering questions to help us understand your desired training dataset, analyze strategy, assess available data, and build out the plan.

Sample dataset: We create a sample dataset for your approval.

Fine-tuning: We then fine-tune the GPT-4 or any open-source model to meet your requirements.

Model deployment: We can deploy the model in a private or public app so you can interact with it. We also have options to deploy the model on-premises or in your cloud account.

Maintenance: We can monitor model performance for divergence and make ongoing upgrades to the model.

Understanding Fine-tuning

Core Concept: Fine-tuning modifies a pre-trained model to excel in a specific task. It adjusts the model's parameters slightly, based on new data.

Technical Details: This method utilizes a pre-trained model, often built on advanced architectures like Transformers. The fine-tuning step involves continued training on a dataset specific to the new task, adjusting the model's weights to improve performance.

Data Preparation: A critical step, where relevant data for the new task is curated and prepared. This may involve data cleaning, augmentation, and the selection of a subset of data that best represents the task.

Algorithm Adjustment: Fine-tuning might also adjust training parameters, such as the learning rate, to avoid overfitting and to tailor the model more closely to its new application.

Frameworks and Libraries: Various software libraries and frameworks support the fine-tuning of pre-trained models, providing the infrastructure to efficiently adjust and optimize the models for specific tasks.

GPTWorks Fine-tuning Benefits

Enhanced Accuracy: Models refined through fine-tuning exhibit superior accuracy in your specific domain, making them more reliable for specialized tasks.

Cost Reduction: Fine-tuning leverages existing open-source models, significantly lowering the expenses associated with model development. This approach can reduce costs by up to tenfold compared to building a model from scratch.

Accelerated Deployment: GPTWorks Fine-tuning streamlines the model deployment process, enabling a faster transition from development to market. This efficiency helps in quicker realization of value from AI investments.

Services

GPTWorks has experience building sophicated AI applications

Chatbots

Chatbots provide a new customer support channel for enterprises, making consistent communication a cost-effective way to improve customer satisfaction. GPT models can be used to build conversational chatbots that can understand and respond to user queries in a human-like manner for customer service, e-commerce, and other applications where customers expect quick and accurate answers to their questions.

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Automated Content Generation

GPTWorks can help you to use models to automatically generate articles, summaries, and other forms of written content. This can save time and resources for content creators while still delivering high-quality content to the end user.

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Information Retrieval:

GPT models can be used to find and retrieve relevant information from a large corpus of enterprise text and structured data. This can be used in applications such as search engines, question answering systems, and recommendation systems.

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Text Classification and Sentiment Analysis:

GPT models can be used to rapidly classify text data into different categories or to determine the sentiment expressed in a piece of text. This can accelerate value from applications such as sentiment analysis of customer feedback, filtering of spam messages, and categorization of news articles.

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Semantic Search.

GPTWorks can help with using models for specialized applications such as semantic search and vector search. This technology allows users to search for information using natural language queries and receive results that are more relevant and accurate compared to traditional keyword-based search engines.

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Agents

AI agents powered by GPT models excel in automating various software tasks, enhancing efficiency and streamlining processes across diverse applications.

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