sales@signitysolutions.com USA :
Get In Touch

OpenAI Model Based Application Development

Introduce OpenAI models into your platform and develop cutting-edge, next-gen products. Dive deep with our expert ChatGPT developers in the latest language models, such as GPT 3.5 Turbo, Davinci, Ada, Babbage, Curie, as well as, the latest image models, such as DALL-E and CLIP, audio models like Jukebox, and code models like GPT-3 Code.

OpenAI API & Other Open Source LLM tools

OpenAI API Integration

Integrate and run humanized AI APIs that are language-driven. OpenAI APIs can give you access to Natural language understanding and sentiment analysis, making text-based searches, multi-factor authentication, anomaly detection, text-based summarization and classifications and creating dialogue systems and conversation agents. 

7100343 1(1)(1)
Group 37(1)

Prompt Engineering

Develop and optimize prompts for your ChatGPT-like application. We can help create language models that can support question-answer tasks, solve arithmetic reasoning queries, text summarization and classification, information extraction, code generation, and create conversational systems.  

LangChain

LangChain framework provides a number of features that are useful for creating ChatGPT-like applications

  • The ability to chain together multiple GPT-3 calls, which allows for more complex and nuanced conversations.
  • The ability to integrate with external data sources, which can be used to provide the chatbot with additional information.
Langchain graphic (2)
hugging face model (1)

Hugging Face Models

Hugging Face models can be used to create ChatGPT-like applications

  • Choose a hugging face model. Some popular hugging face models for ChatGPT-like applications include GPT-3, Jurassic-1 Jumbo, and LaMDA.
  • Load the model: This can be done using the Hugging Face API or by downloading the model's weights and loading them into your application.
  • Interact with the model and anlayze for our specific usecase and apply finetuning, on case to case basis
  • Iterate and improve: This may involve adjusting the model's hyperparameters, providing the model with more data, or changing the way that you interact with the model.

Innovate with AI - Harness ChatGPT's Potential Now!

Collaborate with our ChatGPT developers now and get customized ChatGPT development and integration solutions.

Talk with Our Experts

Our Advanced Artificial Intelligence Models Expertise

  • Image Recognition & Processing
  • Large Language Models
  • Speech Recognition
  • check Dall.E
  • check Stable Diffusion
  • check MidJourney
  • check GPT 3.0 /3.5
  • check LLaMA (Large Language Model Meta AI)
  • check Turing-NLG
  • check Claude
  • check BLOOM
  • check GPT-NeoX
  • check Whisper

Our Advanced Artificial Intelligence Models Expertise

Image Recognition & Processing icon

  • check Dall.E
  • check Stable Diffusion
  • check MidJourney

Large Language Models icon

  • check GPT 3.0 /3.5
  • check LLaMA (Large Language Model Meta AI)
  • check Turing-NLG
  • check Claude
  • check BLOOM
  • check GPT-NeoX

Speech Recognition icon

  • check Whisper

Our OpenAI Models Based Development Process

process
1

Problem Formulation

First, our ChatGPT expert developers understand the given problem statement and understand the role of AI/Automation and identify the data needed for it. there could be a specific need for generating images, translating between languages, customer support etc. They specify the exact scope and objectives of the model.

2

Data Collection

After listing the requirements, data collection and pre-processing are conducted so that the feature extraction from this data set can be conducted correctly. Data Collection and pre-processing help in building predictive models using trends and insights harnessed from data sets.

3

Model Architecture

Our experts at Signity design a neural network architecture suitable for the task. This could be an LSTM for sequence modelling, CNN for images, Transformer for language, etc. They experiment with different architectures to optimize performance.

4

Hyperparameter Tuning

Researchers tune hyperparameters like learning rate, batch size, number of layers/neurons, etc. to improve the model's training and performance.

5

Training

Train the model on high-powered GPUs, using techniques like reinforcement learning, supervised learning, etc. Most of the time Transfer learning is used to fine-tune existing large language models (LLMs) for specific tasks or domains. This involves taking a pre-trained LLM and further training it on a smaller dataset that is specific to the task or domain of interest. This significantly reduces the amount of data and computational resources required to train a model from scratch while still achieving good performance.

6

Evaluation

The trained model is evaluated to measure its performance on test data and the target metrics defined in step 1. If performance is not good enough, our researchers go back to previous steps to improve the model.

7

Deployment

If the model achieves the target performance, it is deployed in a production environment.

8

Feedback and Iteration

Signity incorporates feedback on their deployed models to continue improving them over time through continued data collection, model updates, and retraining. It is an iterative process.

Our Solution Development Stack Empowered by OpenAI Models

Our Technology stack to develop AI solutions for business. Our team of developers, testers and analysts are equipped with a powerful stack of AI and machine learning frameworks, including:

OpenAI Models

gtplogo

GA with Whisper

gtplogo

GPT 3.5

AI Frameworks

Tensorflow_logo

TensorFlow

PyTorch_logo_icon-1

PyTorch

Keras_logo

Keras

Cloud Platforms

aws-icon
40583b9485486616cc310cf5c5282b85
Microsoft_Azure_Logo

Integration and Deployment Tool

horizontal-logo-monochromatic-white
Kubernetes_logo_PNG7
Ansible_logo

Programing Languages

python-logo-generic
javascript-39395
R_logo.svg

Database

Postgresql_elephant
MySQL-Logo

Related Articles

Frequently Asked Questions

Have a question in mind? We are here to answer. If you don’t see your question here, drop us a line at our contact page.

What are the different ML models that you can create? icon

Services that we provide in terms of AI development include - Generative AI, Prompt Engineering, Text to speech models, embeddings, text-to-text generative AI chatbot, image generative AI, prompt models, and a lot of customization can be done as per your business needs. 

What are the areas of expertise of your ChatGPT developers? icon

Our ChatGPT developers are experts in developing deep learning models, NLP models, and OpenAI solutions. Along with these models, developers are continuously learning about the new technologies that are being introduced every now and then. 

What is ChatGPT capable of? icon

ChatGPT is conversational AI that helps generate responses based on data provided, but along with that, it has the ability to generate human-like responses and create short and long answers. Hence, it can be trained to be tech support, customer support, or even medical diagnosis. 

Are there any privacy concerns regarding ChatGPT? icon

Since large data sets are involved in ChatGPT model development, some personal data might get fed to it, We have to keep in mind that if we are using openai hosted model then data remains on their server. Best approach in this case is to go for private LLM. We specialize in finetuning existing LLM and hosting it onprem. 

What kind of benefits can I expect while integrating ChatGPT to my business model? icon

By integrating the ChatGPT application in your business model, you can step into automation, and customer support services, big save on resources and collection of huge data sets that can help streamline your business strategy. 

What is the process of developing an OpenAI model-powered solution with Signity? icon

The process starts with requirement gathering, data collection and pre-processing, training the data, fine-tuning it, developing and designing a model, and deploying it on production. 

Do you provide optimization and maintenance services after developing and deploying the OpenAI model? icon

Yes, we do provide maintenance services to our clients for the smooth function of the delivered platform. For that, we have ongoing support, a team of developers in case any modifications are needed and testers to look into if any bugs arise. 

How much does it cost to build a generative AI model? icon

The cost of developing a generative AI model depends on the scope of your project. A detailed estimate will be provided to you as and when we initiate a regarding building the platform. 

Want to See Your Idea as the Next Big Thing?

Fill up your details

Get custom solutions, recommendations, estimates, confidentiality & same day response guaranteed!

What’s next?

One of our account managers will contact you shortly.

sales

Contact Info

Back to top