What are neural networks? How do they work?
Neural networks, referred to as artificial neural networks (ANNs), are computational models that mimic the structure and operations of the human brain.
Bridging the AI-human communication gap: A comprehensive guide to prompt engineering
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.
Streamlining document workflows: The power of Intelligent Document Processing (IDP)
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.
The decision transformer model: A new dimension in reinforcement learning
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 is artificially generated data replicating real data’s statistical properties and characteristics without containing sensitive information.