Fine-tuning is the process of continuing to train a pre-trained language model on a single, specific task so that it…
ARTIFICIAL INTELLIGENCE (41) – Natural Language Processing (19) Chain-of-Thought Prompting
Chain-of-thought prompting is a prompting technique in which the model is encouraged to explicitly reason step by step before producing…
ARTIFICIAL INTELLIGENCE (40) – Natural Language Processing (18) Few-Shot Prompting
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…
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