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ML Development

With the help of our machine learning development service, unleash the power of data-driven insight. Our machine learning development service is carefully crafted to meet your specific needs, whether you need data engineering expertise, a pre-trained LLM that needs to be fine-tuned, or you want to build and deploy powerful ML-based applications for improving customer experiences, predicting trends, or optimizing operations.

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We Take Pride in Our Numbers!

8+

Years of Experience

30+

Countries serviced

700+

Projects completed

50+

Developers

Our Machine Learning Services

ML Consulting & Strategy Building

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Our knowledge is what you require, whether your goal is to use ML to improve client experiences, expedite procedures, or obtain a competitive advantage. We evaluate the state of your current IT infrastructure, spot ML integration opportunities, and develop specialized implementation plans for ML solutions.

Data Engineering

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With the help of our data engineering solution, you can be sure that the data you use to train machine learning models is of the highest caliber and is ready for the jobs that require it. It involves a wide range of data engineering responsibilities, including feature engineering, data augmentation, and data gathering and cleansing.

ML-powered Solutions Development

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For each of your specific demands, our AI developers and data scientists create bespoke machine learning solutions. Our specialty is creating and executing recommendation engines, predictive models, and other data-driven applications that improve user experiences, streamline processes, and facilitate data-driven decision-making.

MLOps Consulting​

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In order to enable quicker and more dependable development and deployment of ML models, we assist enterprises in implementing MLOps best practices and streamlining workflows. To reduce the time it takes for a model to go from development to production, we assist in the selection and configuration of tools for version control, testing, deployment, and monitoring.

Custom ML Model Development

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By optimizing pre-trained models to meet the particular requirements of your business area, we develop domain-specific machine learning models. Our team of professionals guarantees that your models provide context-aware responses with the utmost accuracy and precision, regardless of the model type—BERT, GPT, or Llama 2.

Integration Into Workflows

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We make sure that our machine learning solutions fit in well with your current processes, so implementing AI is simple and effective. Additionally, we provide thorough support and maintenance services that are intended to maintain your ML systems' optimal performance while attending to any changing requirements or difficulties that may occur over time.

Our ML Expertise

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Deep Learning

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Our areas of expertise include deep learning, creating artificial intelligence-like systems, deciphering complicated data, and paving the way for advances in image identification, natural language processing, and other fields.

Machine Learning Algorithms

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From supervised and unsupervised learning to reinforcement learning, we are well-versed in a wide range of machine learning techniques. We are able to choose the best algorithms for particular use cases thanks to our knowledge.

Machine Learning Frameworks

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Our expertise with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn enables us to quickly design and implement intelligent solutions by enabling us to create and optimize models effectively.

Big Data Technologies

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We can manage massive datasets and perform distributed computing because of our expertise with big data technologies like Hadoop and Spark. No data challenge is too big for you to overcome.

Data Preprocessing

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Your key to realizing the full potential of your machine learning activities lies in our expertise in data preprocessing. We guarantee that your datasets are ready for efficient model training thanks to our proficiency in data cleansing, transformation, and structure.

AutoML

 

Our expertise in AutoML equips us with the capabilities to provide our clients with streamlined AI solutions that are not only efficient but also cost-effective, reducing the barriers to entry for businesses seeking AI integration.

Our Approach to Building Innovative Machine Learning Solutions

Assessment Phase

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We evaluate the current condition of your company and what it needs to do to develop a solid machine learning strategy that will set it up for future success.

Data Collection and Preparation

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High-quality, pertinent data plays a pivotal role in ensuring ML success. Our meticulous data collection and preparation processes are designed to set the stage for effective model training.

Model Integration/Solution Development

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Our expertise with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn enables us to quickly design and implement intelligent solutions by enabling us to create and optimize models effectively.

Strategy Development

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Then, based on your unique use case, we develop a cogent AI plan that takes into account important factors like budget, schedule, security, and privacy.

Custom Model Development

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We fine-tune an ML model using your confidential data to meet the unique requirements of your company. This guarantees that the model performs at its best and is customized to the particular issues and goals of your company.

Integration Into Workflows

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Our expertise in AutoML equips us with the capabilities to provide our clients with streamlined AI solutions that are not only efficient but also cost-effective, reducing the barriers to entry for businesses seeking AI integration.

AI Models We Have Expertise In

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GPT-4

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A collection of OpenAI models that, because of their enhanced general knowledge and sophisticated reasoning abilities, are very accurate at solving complicated issues.

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LLaMA​

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A basic large language model called LLaMA (Large Language Model Meta AI) can create text, hold conversations, summarise textual content, solve mathematical theorems, and predict protein structures.

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PaLM 2​

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The most recent version of Google's comprehensive language model excels in carrying out complex reasoning tasks like code interpretation, mathematical solutions, classification, answering queries, and multilingual translation. This model, which outperforms earlier attempts at natural language production, demonstrates Google's dedication to ethical AI.

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Claude​

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Anthropic's Claude is a large language model (LLM) that was developed as a virtual assistant and is compatible with business processes. Claude can be accessed in Anthropic's developer console via both an API and chat interface. It is capable of handling a wide variety of conversational and text-processing tasks.

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DALL.E

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Based on language prompts, OpenAI's DALL·E produces realistic visuals and artwork. It can create photos with a given size, edit already-existing images, and create several versions of images that the user uploads.

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Whisper​

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Whisper is an OpenAI model for general-purpose speech recognition that can also translate speech, identify languages, and recognize speech in many languages.

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Stable Diffusion​

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In addition to producing detailed images in response to text cues, Stable Diffusion can be utilized for tasks such as text-guided image-to-image translations and inpainting.

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phi-2​

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Phi-2 is a sophisticated 2.7 billion parameter Transformer that performs close to top-tier on important language understanding and reasoning benchmarks. It is enhanced with a variety of NLP data.

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Google Gemini

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Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, it was announced on December 6, 2023.

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Vicuna​

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Vicuna is a chatbot designed for AI, NLP, and machine learning research. It is based on Llama 2 and was improved with user interactions via ShareGPT. Its target users are researchers and enthusiasts in these fields.

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Mistral-7B-v0.1

 

Mistral-7B is a decoder-based LM that performs two tasks: it creates material and modifies it by categorizing user prompts and answers into groups that include illicit acts such as fraud, child abuse, and terrorism.

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bloom-560m

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In addition to direct language exploration, the Bloom-560M model serves specific tasks including information extraction, question answering, and summary for public research in text generation and analysis.

Our Technology Stack for ML Development

Data Storage

Data Processing and Preparation

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ML Libraries and Frameworks

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DevOps Tools

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Visualization Tools

Monitoring and Tracking Tools

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Cloud Infrastructure

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Partners & Alliances

We proactively work together with a wide range of platforms and partners to ensure unmatched flexibility and quick turnaround times without sacrificing excellence and quality.

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Some of Our AI Projects 

LLM-powered Application for Safer Machinery Troubleshooting

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Clinical Decision Support System driven by GenAI

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App for Compliance and Security Access Powered by LLM

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Our Unique Engagement Ecosystem

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Discovery Consultation​

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Embark on a personalized journey with a discovery consultation tailored to your business needs. Our experts delve deep into understanding your goals, challenges, and aspirations, laying the foundation for a unique engagement strategy.

Dedicated Development Team

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At Digital Engine, our adept developers seamlessly integrate avant-garde cognitive technologies, sculpting a tapestry of high-quality services and bespoke solutions meticulously crafted for our esteemed clients' digital aspirations

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Custom Solution Crafting​

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Our team meticulously crafts bespoke solutions designed exclusively for your business landscape. Leveraging cutting-edge technologies and innovative approaches, we tailor our services to seamlessly align with your objectives and vision.

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Agile Developmental Framework​

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Embrace agility with our development framework, ensuring adaptability to evolving project dynamics. Witness a transparent, iterative process that prioritizes feedback, incorporates changes seamlessly, and delivers tangible results at every milestone.

Continuous Communication Channels

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Stay connected with our dedicated communication channels for regular updates and interactive feedback, fostering a collaborative partnership at every step.

Performance Optimization and Growth Strategies

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Beyond project completion, our commitment extends to performance optimization and growth strategies. Benefit from post-engagement support, data-driven insights, and ongoing enhancements to ensure your digital journey continues to evolve and thrive.

Let's Work Together

1. Contact Us

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Fill out the Contact Form and get in touch with us

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2. Get a Consultation

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Get on a call with Digital Engine's experts

3. Get aCost Estimate​

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For your project needs, we offer a tailored proposal with budget and timeline details.

4. Project Launch​

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After project approval, we assemble a cross-disciplinary team to initiate your project.

We Build for You. Whatever You Need!

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FAQs

How can Digital Engine help my business with machine learning development?

Which machine learning services is Digital Engine offering?

Why is it opportune to engage in machine learning services at this time?

What industries can benefit from your machine learning development services?

What customization and flexibility do you offer to integrate ML solutions into an organization's existing technology stack or infrastructure?

What is the typical timeline for a machine learning development project?

What measures do you take to ensure that ML models remain accurate and relevant as industry trends and data evolve over time?

How do you manage the potential bias in machine learning models, and what steps are taken to ensure fairness and inclusivity in your solutions?

What data sources and formats do you typically work with, and how do you ensure data quality and integrity throughout the development process?

How can businesses identify the most suitable machine learning development company for their specific needs?

What are the key steps to successfully implement machine learning solutions within a business?

How are data security and privacy handled by Digital Engine's machine learning development services?

What is the procedure for starting a machine learning solutions partnership with Digital Engine?

Do you provide ongoing support and maintenance for the machine learning solutions you build?

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