Category Archives: Natural Language Processing (NLP)

Teaching AI to Understand Humans: A Guide to Reinforcement Learning from Human Feedback (RLHF)

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Artificial intelligence has taken a great leap with the help of Reinforcement Learning from  Human Feedback (RLHF), a method that combines the power of human judgment with  traditional machine learning. Unlike conventional training processes that depend entirely on  static datasets, RLHF uses human input to make AI systems more adaptable and contextually  aware.  What Makes Continue Reading »

How to work with Large Language Models

How to work with Large Language Models?

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Large Language Models (LLMs) are at the forefront of artificial intelligence, powering applications from chatbots and translators to content generators and personal assistants. These models, such as OpenAI’s GPT-4, have revolutionized how we interact with machines by understanding and generating human-like text.  How Large Language Models Work: Large language models are functions that map text Continue Reading »