Generative AI

Use our advanced machine learning algorithms to develop new and original content

Content generation is revolutionizing how enterprises and entrepreneurs are unlocking creative possibilities that augment and enhance human capabilities.  Generative AI models, neural networks (RNNs), or transformers can be trained on large text datasets to generate automated human-like text.

Key applications of text generation include

• • Content generation

  • • Language translation

    • • Chatbots and virtual assistants

      • • Natural language interfaces

        • • Creative writing and augmentation

          • • Automation and efficiency

            • • Research

Data Augmentation

Generative AI is commonly used to augment datasets for training machine learning models. Generated synthetic data that resembles real data increase the size and diversity of the training data, leading to a significant improvement in model performance and generalization.

Data Augmentation will allow your enterprise to

• Increase data diversity

• • Improve model performance

  • • Reduce overfitting

    • • Create cost effective solution

      • • Handle data imbalances

        • • Enhance model robustness

          • • Maintain preservation of privacy

            • • Achieve efficient resource utilization

Content personalization 

Generative AI is an effective tool to personalize user content based on personal preferences and behaviors. For example, it can generate personalized product recommendations, tailored news articles, or customized advertisements.

Advantages of content personalization

• Enhanced user experience

• • Improved customer engagement and loyalty

  • • Higher conversion rates

    • • Improved customer satisfaction

      • • Increased engagement

        • • Better targeting and segmentation

          • • Data-driven insights

            • • Competitive advantage

Content generation and decision making

Data generation and data-driven decision making enable organizations to gain new insights, optimize operations, personalize customer experiences, and make evidence-based decisions.

Advantages of content personalization

• Improved accuracy and precision

• • Real-time insights

  • • Identification of patterns and trends

• And realize the benefits

• • Optimization of operations and  processes

  • • Personalization and customer satisfaction

    • • Risk mitigation

      • • Competitive advantage

Our Generative AI capabilities facilitate

• Content generation

• • Problem solving and optimization

  • • Gathering competitive and business intelligence

    • • Optimizing and streamlining business operations and processes

Our experts provide a full spectrum of data solutions that reduce your time to action and boost your profitability

Generative models

Intellect2TM enables Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Autoregression models.

Training data

Intellect2TM supports high-quality representative training data that helps capture the underlying distribution of the target domain.

Neural networks

Neural networks and deep networks

 Loss function

Kullback-Leibler divergence, Jensen-Shannon divergence, adversarial loss.

Optimization algorithms

Stochastic Gradient Decent (SGD) and it's variants, such as Adam or RMSprop.

Evaluation metrics

Inception Score, Fréchet Inception Distance (FID), or Perceptual Path Length (PPL)

Post-processing techniques

Refine and improve the generated samples.

Transfer learning

Faster training, better performance and improved generalization by utilizing knowledge from existing models.

We provide expertise at every stage of your project, guiding you from technology selection to implementing solutions and platforms. We create modern applications that transform your business by applying data science, AI, and machine learning technology. 

• Broad-spectrum of custom software and data services employing leading-edge technology, providing a strategic and competitive advantage
• Industry-leading expertise in developing and implementing advanced data solutions
• Easily integrated with other enterprise applications and platforms to solve any data-driven problem
• Unmatched standards for quality, scalability, and performance
• Empower non-experts to use machine learning models and techniques without the need for prior expertise in the field
• Complete adherence to data and security regulations such as HIPAA, Data Protection 2018, etc