Our OpenAI Model-powered Solution Development Services
As a leading provider of OpenAI model-powered development services, our team of experienced AI developers has a deep understanding of the latest language models, including Ada, Babbage, Curie, Davinci, and GPT 3.5 Turbo as well as the latest image models, such as DALL-E and CLIP, audio models like Jukebox, and code models like GPT-3 Code. We can help you create custom models that deliver real results and take your business to new heights.
Consulting and Strategy Building
Our AI experts can guide you in finding AI model use cases in your domain and help build or integrate them into your system. We assess your needs, identify problems that can be resolved using OpenAI models and offer ongoing improvement suggestions after launching the solution.
Model Integration and Deployment
We thoroughly evaluate and understand your requirements to ensure secure and effective integration and deployment. Our OpenAI model integration and deployment service covers the entire process, from model selection and configuration to integration, testing and deployment.
Custom OpenAI Model-powered Solution Development
We build custom AI models and AI solutions using the latest OpenAI models, including GPT-3.5 Turbo, DALL-E, CLIP, and more. Our team of experts works with you every step of the way to ensure a seamless development process.
We apply techniques such as transfer learning, learning rate scheduling, data augmentation, regularization, and hyperparameter tuning to fine- tune a generative AI model for a specific task, enabling the model to leverage existing knowledge to improve performance on the target task.
Our AI Expertise for OpenAI Model-powered Solution Development
Our proficiency in diverse AI technologies like the undermentioned enables us to create robust OpenAI model-powered solutions like ChatGPT.
With expertise in several AI development services, our developers can seamlessly effectuate machine learning concepts like predictive modeling or NLP to develop OpenAI model-powered solutions like ChatGPT that convert the assembled unstructured data into actionable insights.
We thoroughly understand how deep-learning models utilize multi-layered artificial neural networks to model complex patterns in data. We also implement GPT deep learning architecture designed for NLP tasks to develop highly performant solutions.
Natural Language Processing (NLP)
Our AI developers can effortlessly incorporate Natural Language Understanding (NLU), Natural Language Processing (NLP) and its subsets like language modeling and attention mechanisms into your solution to process large quantities of natural language data like customer feedback and sentiments to derive valuable insights.
We specialize in transfer learning, an AI technology that allows the reuse of pre-trained models on similar tasks to improve performance and reduce training time. We understand how to utilize pre-trained models to solve specific problems, leading to efficient and effective solutions.
AI Models We Have Expertise in
A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.
A set of OpenAI models, including the highly capable and cost-effective Gpt-3.5-turbo, that improve on GPT-3 and can generate text or code.
A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.
DALL·E by OpenAI generates realistic images and artwork based on text prompts. It can produce images of a specified size, modify pre-existing images and generate variations of user-provided images.
Whisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.
OpenAI's Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.
Moderation models are machine learning OpenAI models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms.
Stable Diffusion generates detailed images from text prompts and can also be used for tasks like inpainting, outpainting, and image-to-image translations guided by text.
Midjourney is an AI-powered image generator that creates images in response to textual prompts. The images produced by Midjourney feature a distinct artistic flair.
Google's Bard, powered by LaMDA, is a text-to-text generative AI chatbot designed to generate human-like responses to natural language prompts, making it capable of engaging in conversations with humans.
LLaMA (Large Language Model Meta AI) is a foundational large language model designed to generate text, have conversations, summarize written material, solve math theorems or predict protein structures.
Claude is a large language model (LLM) by Anthropic, trained as a virtual assistant that can be integrated with business workflows. Claude, accessible through both a chat interface and API in Anthropic’s developer console, can perform an extensive range of conversational and text-processing tasks.
Our OpenAI Model-powered Solutions Development Process
In this step, the problem that ChatGPT is designed to solve is defined. This includes identifying the target audience and their needs, as well as any specific challenges or limitations that may need to be addressed. This step helps ensure that the resulting ChatGPT model is well-suited to the intended purpose and maximizes users’ benefit.
With the data in hand, the next step is to design the ChatGPT model itself. This involves choosing the appropriate architecture and hyperparameters for the model and deciding on the training methodology and optimization algorithms that will be used. The model design should be carefully considered to ensure it is well-suited to the problem being addressed and can generate accurate and appropriate responses to user inputs.
After training the model, it must be tested to evaluate its performance. This involves using a separate data set to see how well the model can predict new inputs and generate appropriate responses. The testing process helps identify any areas where the model may be weak or inaccurate and provides insights into how the model can be improved.
Data Collection and preprocessing
Once the problem has been defined, the next step is to collect data that will be used to train the ChatGPT model. This may involve gathering large amounts of text data from various sources, such as websites, social media platforms, and other online content. The quality and quantity of the data collected will directly impact the accuracy and effectiveness of the resulting ChatGPT model.
Model Training and fine-tuning
Once the model has been designed, it is trained on the collected data. This involves feeding the data into the model and adjusting the model parameters based on the results obtained. The training process can be time-consuming and resource-intensive but is critical to ensuring that the resulting ChatGPT model is well-tuned and effective which involves updating the model’s parameters using the training data and the defined training parameters. The model is fine-tuned until its performance on the validation dataset is acceptable.
Once the model has been tested and validated, it is deployed to a production environment where it can be used to provide assistance or support to users in real-time. The deployment process must be carefully planned and executed to ensure that the model functions correctly and meets the needs of users.
Our OpenAI Model-Powered Application Development Services Cater to a Wide Array of Industries
Banking and Finance
Supply Chain and Logistics
Our Engagement Models
Dedicated Development Team
Our blockchain developers are hands-on the cognitive technologies to deliver high-quality services and solutions to clients.
Our team extension model is intended to help clients who want to extend their team with the right expertise required for their project.
Our project-based model and software development specialists are there for customer collaboration and specific client project engagement.
Get Started Today
1. Contact Us
Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.
2. Get a Consultation
Get on a call with our team to know the feasibility of your project idea.
3. Get a Cost Estimate
Based on the project requirements, we share a project proposal with budget and timeline estimates.
4. Project Kickoff
Once the project is signed, we bring together a team from a range of disciplines to kick start your project.