Few-shot prompting is a technique used with large language models where the model is given a small number of examples…
ARTIFICIAL INTELLIGENCE (39) – Natural Language Processing (17) Historical Evolution of Language Models (NLP)
1948 – Bag-of-Words & Distributional Hypothesis Bag-of-Words (BoW): Text is represented as an unordered collection of words, ignoring grammar and…
ARTIFICIAL INTELLIGENCE (38) – Natural Language Processing (16) GPT‑2 and Language Modeling
A language model is a model that predicts the next word based on the words it has already seen. Everyday…
ARTIFICIAL INTELLIGENCE (37) – Natural Language Processing (15) Transformers as a General-Purpose Architecture
Transformers are one of the most influential neural network architectures in modern artificial intelligence. Although they were originally introduced for…
ARTIFICIAL INTELLIGENCE (36) – Natural Language Processing (14) Understanding Attention in Neural Machine Translation
Attention is one of the most important ideas in modern neural networks for language processing, especially in Neural Machine Translation…
ARTIFICIAL INTELLIGENCE (35) – Natural Language Processing (13) Understanding Attention in Sequence‑to‑Sequence Models
Sequence‑to‑sequence (Seq2Seq) models are a common type of neural network used in tasks where one sequence is transformed into another,…
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