Generative AI

Plan for your generative AI success and differentiation

WORLD-CLASS TECH EXPERTS

STATE-OF-THE-ART KNOW-HOW

DISCOVERY AND DEVELOPMENT

What we can offer

Not sure how generative AI can boost your business? With our expertise and business mindset, we help you to identify and implement practical solutions

CONTACT US TO LEARN MORE

GPT and other LLMs

GPT and other large language models

Developing human-like tools for automating repetitive tasks and improving response times by converting NLP capabilities into solutions such as virtual assistants, content generation and sentiment analysis

Diffusion models

Diffusion models and generative adversarial networks (GANs)

Implementing various business applications including audio or image generation (text-to-image), transformation (image-to-image), as well as mixed solutions with language models

Generative AI R&DExpert-level support with large language models
Challenge

With the recent rapid progress in the field of NLP, many clients are becoming interested in using large language models in their business, but do not have the proper know-how.

Our Solution

deepsense.ai has acquired extensive knowledge and practical experience with various language models both open-source and API-based solutions. For a given client’s business case, we can quickly find and propose the best approach. Our end-to-end solution can be set up in both an on-premise environment and in the cloud.

Benefits

In a matter of weeks, we can develop a proof-of-concept solution to a business problem, ready for further development and productization.
Generative AI R&DLowering the cost of using large language models
Challenge

Large language models are becoming increasingly good at performing NLP tasks, but quality comes at the cost of purchasing powerful hardware, paying for cloud-based services or using a paid API.

Our Solution

We provide expertise in memory optimization techniques based on the parallelization of computations across multiple GPUs, including data, pipeline and tensor parallelism. These state-of-the-art techniques can be applied in the clients’ infrastructure, both on-premise and in the cloud, allowing you to leverage the cutting-edge large language models technology at lower cost.

Benefits

We have knowledge on how to adjust and deploy large language models at a lower cost, under limited hardware conditions.
Generative AI R&DGenerating data with diffusion models
Challenge

Computer vision models require large amounts of data to perform well. Unfortunately, in many business cases, the amount of available data is very limited. Small datasets may be due to the high cost of data collection, privacy concerns, or the limited availability of data.

Our Solution

Impressive progress in deep learning generative models, such as Dall-E 2, Midjourney and Stable Diffusion, make it possible to generate high-quality images. At deepsense.ai, we have harnessed the potential of these methods to expand the training datasets – generating image data as well as labels for them.

Benefits

The data generated with the methods developed have been proven to boost the performance of deep learning models in tasks such as classification and object detection.
Generative AI R&DInteractive document exploration
Challenge

Business, legal and other kinds of documents can take a long time to read. Each document can give rise to a different set of questions. Asking someone to read it and provide us with a summary or a list of key points is not often feasible. Many open AI implementations do not always provide reliable and true information.

Our Solution

We applied large language models to provide an interactive chat interface to get insights for a given document, making it extremely easy to use. Within a simple interface, one can bring any document to our AI assistant, who reads it faster than a human can, and then provides answers to any questions – quoting the exact source. It can also look up certain information from the Internet to provide additional context.

Benefits

An AI assistant with a natural language interface is a cheap and best way to obtain fastest insights, saving time to ensure one can make a good decision within a short time.
Generative AI R&DExtracting information from unstructured data
Challenge

With a huge number of documents in the store, it is extremely difficult to extract the most important information out of them. To facilitate the process of understanding the unstructured data and more easily search for the answers to bother some questions, we offer a chatbot capable of doing both in an intuitive manner.

Our Solution

Documents provided to the application are indexed using the most recent large language models, which enables a deeper understanding of their content. We created a simple GUI to make the question answering process smooth and intuitive. After getting the answers out of an extensive set, the user might proceed to ask questions about a specific document only to get even more precise pieces of information.

Benefits

The system helps to extract the most important information from a wide range of documents and answer specific questions about them.