Neural networks: Architecture, applications, case studies, development and implementation
Neural networks, referred to as artificial neural networks (ANNs), are computational models that mimic the structure and operations of the human brain.
Prompt engineering: The process, uses, techniques, applications and best practices
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs.
How to streamline document workflow with the power of Intelligent Document Processing?
IDP is an AI-powered document processing technique that not just scans and captures structured, unstructured and semi-structured data, but also understands it deeply.
Decision Transformer Model: Architecture, Use Cases, Applications and Advancements
Decision Transformers stand as a beacon of progress in the reinforcement learning landscape, poised to reshape how intelligent agents are trained and interact with their environments.
Understanding generative AI models: A comprehensive overview
Generative AI is a technology used to generate new and original content. It leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.
What is synthetic data and how to create it?
Synthetic data refers to artificially generated data that replicates the statistical properties and characteristics of real data without containing any identifiable or sensitive information.
