WE BUILD AI AGENTS AND CHATGPT INTEGRATIONS

Leading the way to a Modern Tomorrow

Writing great software since 2001.  We are small enough to provide great personal service and large enough to offer superior reliability.

What We Do Best

Custom software solutions

We increase your business efficiency by writing custom software solutions to assist in the automation of your business processes.

ChatGPT Integrations

We integrate with ChatGPT, helping with prompt engineering, finetunes, embeddings, and plugin development.

AI Agents

AI Agents are the next step of business process automation. Smart agents using language models like ChatGPT and StableLM can intelligently perform tasks for your business.

legacy app conversion

As applications get older the technical debt can pile up, making even the smallest change like moving a mountain. Thinking about a rewrite?

Custom database applications

Custom databases adapt to your company’s unique workflow. Focus on your business and let us focus on the software to support it.

Business Automation & Reporting

As your business grows and processes become refined, automation becomes vital to support continued growth.

Our Proven Process

Understand your Needs

Before a single line of code is written, we work with you to gain a solid understanding of how we can fit into your process to make it more efficient. We use tools like mockups and story cards to convey our understanding back to you, and then work on a short-cycle iterative process.

The Value Strategy

The Value Strategy is a unique aspect of our business. We strive to understand the value that our software brings to your business. By using the latest Agile software development methodologies, we can provide more value in less time.

Delivering results

We focus on what’s important: delivering results. We strive to maximize the value we provide on your timeframe and within your budget, working together to get you where you need to go.

How It Works

  • Schedule a Call
  • Show us What you Have
  • Tell us What you Need
  • Receive Estimate / Proposal
  • Project Kick-Off
  • Project Done, On Time and Under Budget

Get In Touch

13 + 8 =

UseTech Design, LLC
1890 Crooks Rd. Troy, MI
Call or text +1(734) 367-4100

AI Image Generation: Drag your GAN

The goal of the GAN is to train the two networks until the generator can create realistic data that the discriminator can no longer differentiate from real data. This process is repeated until the models reach near-perfect accuracy on synthetic data, allowing the generator to produce largely indistinguishable data from the real thing.

Integrating ChatGPT for More Human-Like Conversations with Chatbots

Integrating ChatGPT for more human-like conversations with chatbots involves leveraging OpenAI’s GPT technology to create more natural, engaging, and context-aware interactions with users.

How NLP is Revolutionizing the Chatbot Industry

NLP (Natural Language Processing) is a branch of artificial intelligence (AI) that deals with the interaction between humans and computers using natural language. In the context of chatbots, NLP is the technology that enables chatbots to understand and interpret natural language input from users, and respond to them in a way that feels human-like.

A Guide to Stable Diffusion Models: Understanding and Harnessing their Power

Stable diffusion models are powerful mathematical tools used to study, predict, and model the behavior of complex systems over time. These models provide valuable insights into the spread of information, ideas, or behaviors through a network, the diffusion of innovations, and the propagation of influence in social, economic, and technological systems.

An Introduction to Multi-Agent Systems

A multi-agent system (MAS) is a computational framework consisting of multiple interacting agents or autonomous entities, each with its own goals, knowledge, and decision-making capabilities. These agents can be software programs, robots, or any other smart entities that can perceive their environment, reason, learn, communicate, and take actions to achieve their objectives.

Mastering N-Shot Learning: Tackling Few-Shot Challenges with Innovative AI Techniques

N-shot learning is a type of machine learning problem where a model is required to learn from a very limited number of examples (usually N examples) for each class during training. It is a subfield of few-shot learning, which focuses on training models to recognize new objects or categories based on a small number of samples.

Stable LM | Stability AI’s Open Source Language Model

Stability AI’s StableLM is a language model designed to be more stable and controllable compared to other language models, such as OpenAI’s GPT-3. It aims to minimize biases and prevent the model from producing unsafe or inappropriate content.

GPT Few-Shot Learning

GPT few-shot learning refers to the ability of Generative Pre-trained Transformer (GPT) models to learn and generalize from a small number of examples or training instances, also known as “few-shot learning.” In the context of GPT models like GPT-3, few-shot learning demonstrates the model’s capacity to understand and perform tasks with very limited guidance or additional training.

ChatGPT Third-Party Plugins

In the context of ChatGPT or other conversational AI agents, “plugins” could be understood as additional components, integrations, or customizations that extend the capabilities of the AI agent.

ChatGPT Fine Tuning

ChatGPT fine-tuning refers to the process of refining a pretrained language model, such as OpenAI’s GPT (Generative Pre-trained Transformer), for a specific chatbot or conversational AI application. Fine-tuning involves training the model further on a narrower dataset, which is curated or generated based on the intended purpose and domain of the chatbot.