Machine Learning and Deep Learning Models
Machine Learning Development: Developing machine learning models that can predict outcomes based on historical data. This includes supervised, unsupervised, and reinforcement learning models applicable to various business needs, such as demand forecasting, risk management, and customer segmentation.
Natural Language Processing (NLP): Implementing NLP technologies to enable machines to understand and interact with human language, enhancing customer service through chatbots and virtual assistants, and improving internal tools, such as automated document analysis and sentiment analysis.
An Overview of Adroitents’ Eight Steps in ML Models Development
- Foundational research: Our teams perform foundational research using ML and DL algorithms and explore areas such as optimizing algorithms, leveraging supervised and unsupervised learning and reinforcement learning to understand models based on use cases
- NL processing: We adopt Natural language processing by processing human-like language with sentiment analysis and machine translation to enable data collection and annotation
- Model development: Our AI teams develop models by adopting prototyping to specific use cases and testing the feasibility of AI concepts in real-world scenarios
- Model training: Our teams train the AI model and evaluate its performance using metrics like accuracy, precision, recall, such that the hallucinations should be lesser. etc.
- Model optimization: Optimize the custom AI model for efficiency, scalability, and resource utilization
- Model fine-tuning: Evaluate and fine-tune the model by considering performance metrics
- Model deployment: Deploy the trained model and monitor the model in real-world scenarios and collect feedback
- Model data analysis: Analyze data and refine the AI model through techniques using hyper parameter tuning
Specifically, the AI research and development services requires a multi-disciplinary approach and our AI experts adhere with it to handle complex problems and deliver innovative AI models for enterprises based on their business use cases.