Get a proof of concept and test GPT models for your specific use case. Reduce the risks and uncertainties and increase the chances of success.
of the U.S. companies currently use GPT models
of current users say they plan to expand their use of GPT
of leaders report a cost decrease via AI adoption
by integrating GPT into your customer support channels.
GPT-4 can turn your sketches into websites and mockups.
to boost your marketing efficiency and increase sales.
with a GPT-4-powered coding assistant.
by getting concise meeting summaries.
with GPT-4 describing images captured by users’ cameras.
We will help you assess which technology is the right one for your business case, validate its usage, and implement it.
ChatGPT | GPT-3.5 | GPT-4 | |
---|---|---|---|
What it is? | A chatbot app powered by GPT | Large Language Model (LLM) | Large Language Model (LLM) |
Fine-tuning allowed | no | yes * except for the gpt-3.5-turbo |
no |
System messages defining the context | no | no | yes |
Supported formats | text | text | text and image |
Accuracy | ~50% | ~70% | ~85% |
Number of parameters used by the model | 20 billion of GPT-3’s parameters in the free version | 175 billion parameters | 100 trillion parameters |
Context length (max. tokens per request) | 4096 (~ 3K words) |
4096 (~ 3K words) |
8K/32K (~6K/24K words) |
Cost per 100k requests with an average length of 1500 prompt tokens and 500 completion tokens | $400 | $400-$4000 (depending on the model) | $7,500/$15,000 |
Use cases | general question answering, simple classification tasks, general conversational chatbots | AI – powered personal virtual assistant, complex classification, Q&A about specific products or services, content generation | AI-powered personal virtual assistant, complex classification, Q&A about specific products or services, content generation – choose if you have a lot of data or need high precision |
Increase data security and compliance by accessing GPT models through Azure OpenAI Service. Benefit from Microsoft’s built-in security controls and stay in line with current regulations.
Full support from Day 1 to ensure your GPT development project’s success.
We’ll answer all your questions and address all your doubts about GPT integration services.
See if GPT can help you with your current challenges, plan its seamless integration step by step, and learn the risks.
Before investing loads of money in a generative AI project, test the feasibility of using the chosen GPT model for your use case.
Let us optimize the GPT model performance for domain-specific use cases and make sure you make most of them.
Want to build a GPT-powered product from scratch? You got it! Our designers and developers are ready to help.
The GPT models’ training doesn’t stop with the deployment. It’s important to keep an eye on that process, and we’re ready to help you with that.
The time required for a GPT integration project delivery depends on the project’s complexity and your specific business needs. If you need only ChatGPT integration services, a simple connection between your existing software and ChatGPT, it may be a matter of a few days. If you’re building a GPT-powered app from scratch and you also want to fine-tune the GPT model with your data, you would need at least 2-3 months for a simple MVP and even more for a fully-featured AI-powered product.
The cost of a GPT development project is influenced by several factors. First, it depends on the model you choose. If we take 100k requests with an average length of 1500 prompt tokens and 500 completion tokens, the cost of using GPT-3, GPT-3.5, and GPT-4 would differ from $400 to $15,000. However, it is important to note that the GPT service fee is only one factor that impacts the final quote of the GPT implementation. To estimate such a project, you would need to consider the cost of gathering data for the initial training, the salaries of the development team, and the price of the infrastructure.
If you’d like to learn more about how much you need to spend on GPT implementation, read this article:
How Much Does It Cost to Use GPT Models? GPT-3 Pricing Explained
In the PaLM 2 Technical Report, PaLM 2 appears to beat GPT-4 in mathematical, translation, and reasoning tasks. However, the informal language tests run by Wharton professor Ethan Mollick seem to prove that PaLM 2 is not more powerful than GPT-4 – at least not yet.
But as the whole space of Artificial Intelligence (AI) tools has been changing really fast over the past few months, it’s worth keeping an eye on both GPT models family and PaLM. OpenAI o1-mini may be able to be a tough competitor for the PaLM model.
GPT offers a wide range of benefits, including increased productivity across the organization, more efficient business operations, enhanced creativity, personalized user experience, increased customer satisfaction, a high level of customization, access to a wide knowledge base, and money savings.
If you’d like to learn how other companies leverage the potential of GPT and benefit from its features, here is the article about some real-life examples of GPT-4 implementation: The Future of AI is Here: GPT-4 Use Cases and Early Adopter Projects.
Yes. Since March 1, 2023, ChatGPT developers can integrate it into their apps and products through OpenAI API. It can assist in numerous tasks, such as: content generation, translation, summarization, question answering, etc. Its cost depends on the token usage and is the same as in GPT-3.5-turbo – $0,002 per 1k tokens.
Optimize internal processes or amaze your clients with custom AI-based products.
Enter the new era of creativity & growth with the help of generative AI.
The first step to turning your AI concept into a functional product.
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