We provide smarter solutions to AI/ML business problems with a framework that helps prioritize use cases and scale model development.
Our AI and machine learning are ushering in a new era of digital to prioritize use applications and achieve concrete business benefits from AI and ML projects.
Analyze your skills and identify your long-term objectives before making tool, technology, and architectural suggestions.
Investigate datasets and develop models with rapid, economical, and adaptive concepts to show the necessities.
To construct a machine learning model, we perform experiments in parallel to system’s core model.
Integrate the machine learning system with REST API or front-end interface, providing the features required.
We like the teamwork that Sterling Technolabs does. They always get the requirements and pay the attention to small details. It's amazing how they deliver everything on time and provide an exceptional support.
Sterling Technolabs helped me handle multiple development tasks while keeping a warm attitude and utmost professionalism. I recommend them to everyone.
It's great to work with Sterling Technolabs. They have a lot of expertise in-house and have an answer to every challenge. They always find a solution to fulfil our requirements. We look forward to a long lasting relationship with them.
Sterling Technolabs is a great example of how teams must work. They're very kind, smart and very professional. It's not easy to work together if you don't speak the same language but with them, it's never been a problem. Always a pleasure to work with them.
Gaurav G.
June 2, 2023
Gaurav G.
May 31, 2023
Rohan Roy
May 29, 2023
AI and machine learning aren't just for prediction and classification. Here are a few more scenarios in which it might be utilised and executed: 1. Custom Image Representation (Correct image quality, Image Analysis, Image Synthesizing, Image Captioning) 2. Styled Text Production (For Q&A, Chatbot Response, Text Summarization) 3. Video Post-Production (Identifying actions and humans present in the video, Video summarization)
The success of AI and machine learning models is dependent on data. For specialised AI-based training, testing, and validations, around 1500 units of the data point are required for Deep Learning operations, including photographs, documents, and reviews.
A RestAPI-based URL may be created and incorporated into the application, which will contact the ML implementation below it with the needed arguments.
There are two stages to implementing AI and machine learning solutions: Phase 1: Model creation, training, testing, and hyper-tuning. Phase 2: Deployment model in a real-world setting. To enable machine learning in Phase 1, we'll need to build up a cloud-based cluster of computers with GPU/TPU (Although you can set one machine). In the event of the picture and text-based data processing on a single system, training will take time. It is recommended to employ a cluster of servers for distributed service to save training time. In the training phase, the following elements must be calculated. Costing for the training phase's number of devices – hourly basis -I/O on the network -Estimating the cost of the number of devices required for the prediction phase
We offer four different types of hiring engagement models at Sterling Technolabs. 1.Dedicated Developer: - 160 hours each month on a monthly basis 5 days a week, 8 hours a day 2.Hourly Rate: - Hours/Month- We utilise time tracking software such as time doctor and hub things to keep track of our hours. 3.Time and Material Base- You can communicate your requirements with our team on a time and material basis. Our team will assess your needs and then provide you with a thorough estimate of your project, including time and cost, as well as a project roadmap. 4.Build Your Own Team: Using this form of engagement we will help you build your own team of professionals to do your desired project.
Yes, Sterling Technolabs handles everything from concept to design to implementation and upkeep. Once your mobile app is ready to launch, we'll test it before releasing it on the respective store, such as the App Store or Play Store. We'll take care of everything, including servicing and quality control.
An individualized or combination of methodologies involving Agile, Waterfall, Rapid, Scrum, etc can be put into action for an efficient software product.
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