AI&ChatGPT

Embedding is a numerical representation of content that allows a model or search system to compare meaning, not just exact wording. A text, image, document or another input is converted ...

Embedding is a numerical representation of content that allows a model or search system to compare meaning, not just exact wording. A text, image, document or another input is converted Read article →

A large language model, usually shortened to LLM, is a type of artificial intelligence model designed to process and generate natural language. It is trained on very large amounts of ...

A large language model, usually shortened to LLM, is a type of artificial intelligence model designed to process and generate natural language. It is trained on very large amounts of Read article →

Multimodal models are AI models that can work with more than one type of input at the same time - for example text, images, audio, video, documents, charts or screenshots. ...

Multimodal models are AI models that can work with more than one type of input at the same time - for example text, images, audio, video, documents, charts or screenshots. Read article →

Prompt engineering is the practice of designing prompts for a language model in a deliberate way so that the model produces more precise, useful and contextually appropriate outputs. It is ...

Prompt engineering is the practice of designing prompts for a language model in a deliberate way so that the model produces more precise, useful and contextually appropriate outputs. It is Read article →

Bagging stands for bootstrap aggregating. It is a machine learning method that does not rely on a single model, but on multiple versions of the same model trained on different ...

Bagging stands for bootstrap aggregating. It is a machine learning method that does not rely on a single model, but on multiple versions of the same model trained on different Read article →

Machine learning is a branch of artificial intelligence in which systems learn from data instead of relying only on fixed, hand-written rules. A model is trained on examples, looks for ...

Machine learning is a branch of artificial intelligence in which systems learn from data instead of relying only on fixed, hand-written rules. A model is trained on examples, looks for Read article →

OCR, short for Optical Character Recognition, is a technology that converts text from images, scans, photographs, screenshots or PDF files into machine-readable text. Instead of forcing a person to retype ...

OCR, short for Optical Character Recognition, is a technology that converts text from images, scans, photographs, screenshots or PDF files into machine-readable text. Instead of forcing a person to retype Read article →

Chunking is the process of splitting longer content into smaller, meaningful parts so that an AI system can store, search, retrieve and use the right information more effectively. Instead of ...

Chunking is the process of splitting longer content into smaller, meaningful parts so that an AI system can store, search, retrieve and use the right information more effectively. Instead of Read article →

RAG, short for Retrieval-Augmented Generation, is an AI architecture that combines retrieval of relevant information with answer generation. In other words, the model does not respond only from what it ...

RAG, short for Retrieval-Augmented Generation, is an AI architecture that combines retrieval of relevant information with answer generation. In other words, the model does not respond only from what it Read article →

A context window is the amount of information a language model can work with at one moment. It is usually measured in tokens, which are smaller text units from which ...

A context window is the amount of information a language model can work with at one moment. It is usually measured in tokens, which are smaller text units from which Read article →