Object-related tasks in vision are problems where a computer analyzes images to understand what objects appear in them. Classification is…
ARTIFICIAL INTELLIGENCE (43) – Natural Language Processing (21) PPO Proximal Policy Optimization
Instead of directly asking humans for preferences, model their preferences as a separate (NLP) problem. This means: Humans label or…
ARTIFICIAL INTELLIGENCE (42) – Natural Language Processing (20) Fine-tuning and Instruction Fine-tuning
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…
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