Our AI model training services
Even the most sophisticated generative AI models known as foundation models are, in fact, high-end pattern matchers. To be able to understand the material and recognize context, machine learning models should be taught to do it. Our seasoned data engineers, well-versed in such training jobs, will employ adequate datasets and cutting-edge software tools to coach your ML models in analyzing data points, identifying patterns, and producing accurate results.
Let’s discuss your needs in AI model training!
Benefits of AI training for businesses
By implementing out-and-out training of AI models, IT-driven companies can enjoy the following boons.
Improved decision-making
After an adequate grooming on relevant data, AI models can generate more accurate results, enabling effective data-driven decisions related to multiple aspects of organizations’ shop floor routine.
Boosted workflow efficiency
High-end AI-fueled systems can automate the lion’s share of the employee’s repetitive tasks, cut down on paperwork, and streamline pipeline operations, thus stepping up the enterprise’s overall efficiency.
Enhanced customer experience
The increased power of AI mechanisms to analyze customer behavior, detect their preferences and pain points, identify patterns, and predict trends allows for providing personalized customer experiences, augmenting client satisfaction, and fostering brand loyalty.
Competitive edge
With the internal pipeline functioning smoothly and customer satisfaction on a high level, a company relying on efficient AI models obtains a considerable advantage over its rivals in the niche and stays ahead of the curve at every turn.
Why choose DICEUS
Training artificial intelligence models via employing advanced ML frameworks and vast training data sets is a no-joke endeavor that should be entrusted to vetted specialists in the domain. What makes us sure DICUES qualifies for this task?
- Highly competent personnel. Our qualified and certified developers and engineers possess vast theoretical knowledge and multiple hands-on hard and soft skills to tackle an AI-related project of any scope and complexity.
- Expertise across various industries. During our presence in the high-tech outsourcing market, we have delivered numerous solutions for organizations in insurance, healthcare, banking, fintech, construction, retail, and other sectors, which allowed us to learn the nitty-gritty of their workflows and shop floor processes.
- Working with custom models. Each enterprise has its target audience, business goals, and data security requirements and access policy. We practice custom training, devising models in multiple languages if necessary for each specific case.
- Client-focused approach. The satisfaction of our partners is the ultimate aim for us to steer by. We offer flexible engagement models and communication schedules, as well as continuous support, to meet our customers halfway and ensure comfortable cooperation between the parties.
AI model training pipeline
For every specific instance, we create a unique model training roadmap. However different, such plans always consist of four basic steps.
About DICEUS
Our achievements
Customer feedback
Elena Markova
Board Member, UNIQA Ukraine
We were impressed by the depth of the UX analysis they did in terms of our customer’s research, buyer persona creation, user journey mapping, etc. All the information like research findings, for instance, was presented in a clear form (presentations, Miro boards, clear infographics) so it was quite easy to understand what we need to build and why.
Antoaneta Karagyozova
CPSO, Fadata
We are happy with DICEUS’ software implementation services. The team’s workflow is highly effective and professional in all aspects of the engagement. All clearly understand what goals we’d like to reach and do their best to do that as efficiently as possible. Overall, the partnership has been successful.
Phil Reynolds
CEO, BriteCore
The DICEUS team has consistently supported the BriteCore team for many years. Their engineers are well-educated and highly invested in the ongoing quality of the BriteCore platform with sustained relationships that extend over four years. We appreciate everything the DICEUS team brings to the table as a development partner.
Our cases
Frequently asked questions
How do AI models get trained?
First of all, you need to collect a large dataset of accurate, relevant, consistent, diverse, understandable, and representative data with clear annotations. After opting for the suitable algorithm, you embark on the training process, during which the system’s efficiency is continuously monitored, tested, assessed, and fine-tuned. Then, the completed solution is deployed, but the training team should be there to optimize its functioning, address issues, and make adjustments.
What are AI model training services?
They cover the entire process of training AI- and ML-fueled systems to enable them to analyze the input data, pinpoint patterns in them, and make the right conclusions. Depending on the nature of the input, such services can cover audio, video, image, and text data training algorithms.
What tools and technologies are commonly used for AI model training?
The choice of the toolset for AI model training is largely conditioned by the project’s goals and requirements, the integration potential of the solution to be built, the competence and preferences of the tech team, and other factors. The most popular frameworks and resources applied for this purpose include TensorFlow, PyTorch, Keras, Scikit-learn, ML.NET, Accord, Catboost, and others.
How can you optimize the AI model training process?
The best practices of AI model training workflow include careful data curation, ensuring correct annotation, opting for the suitable training model, rigorous model validation, systematic hyperparameter tuning, and maintaining straightforward documentation. You should begin with small datasets, gradually increasing their volume and constantly monitoring the training procedure.
