Category: Natural Language Processing

Tokenisation Strategies

Post author By EfficiencyAI
Post date 31 May 2025
Categories In Artificial Intelligence, Embeddings & Representations, Natural Language Processing

Tokenisation strategies are methods used to split text into smaller pieces called tokens, which can be words, characters, or subwords. These strategies help computers process and understand language by breaking it down into more manageable parts. The choice of strategy can affect how well a computer model understands and generates text, as different languages and…

Transformer Decoders

Post author By EfficiencyAI
Post date 31 May 2025
Categories In Artificial Intelligence, Deep Learning, Natural Language Processing

Transformer decoders are a component of the transformer neural network architecture, designed to generate sequences one step at a time. They work by taking in previously generated data and context information to predict the next item in a sequence, such as the next word in a sentence. Transformer decoders are often used in tasks that…

Few-Shot Prompting

Post author By EfficiencyAI
Post date 31 May 2025
Categories In Artificial Intelligence, Natural Language Processing, Regulatory Compliance

Few-shot prompting is a technique used with large language models where a small number of examples are provided in the prompt to guide the model in performing a specific task. By showing the model a handful of input-output pairs, it can better understand what is expected and generate more accurate responses. This approach is useful…