Business Physics AI Lab

Category: AI Article

  • Chain-of-thought reasoning (Simply Explained)

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    Thomas Bedard
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    What is Chain-of-thought reasoning (CoT)? “Chain of thought (CoT) mirrors human reasoning, facilitating systematic problem-solving through a coherent series of logical deductions”. IBM: https://www.ibm.com/think/topics/chain-of-thoughts Essentially, CoT encourages an AI model to take intermediate steps before getting to the final answer. Instead of going straight to the solution, the model will explain its thought process in…

  • Zero-Shot Learning (Simply Explained)

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    Thomas Bedard
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    What is Zero-shot learning (ZSL) ? Zero-shot learning (ZSL) is a machine learning approach that enables models to recognize and categorize things they have never seen before without needing any labeled examples of those new things during training. Unlike supervised learning that require a lot of labeled data, that must be categorized explicitly, ZSL uses…

  • Understanding Transformer Architecture in Simple Terms

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    Hichem Benzair
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    What Are Transformers? Transformers are a type of neural network architecture named for their ability to “transform” how artificial intelligence (AI) processes sequences of data, especially text. Introduced by Google researchers in their 2017 paper, Attention Is All You Need, Transformers significantly improved Natural Language Processing (NLP) tasks by using a mechanism called Self-Attention (Golroudbari).…

  • What is RAG & How Does it Work?

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    Thomas Bedard
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    Retrieval-Augmented Generation (RAG) is an advanced technique in Generative AI that blends text generation with real-time information retrieval. Simply put, RAG allows AI models to access external databases or knowledge bases to fetch accurate and up-to-date information when generating responses. This ensures that the content produced is not only coherent but also factually correct and relevant to the…

  • What is Generative AI (GenAI)?

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    Hichem Benzair
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    Generative AI refers to artificial intelligence systems that can create new content, understand human language, and analyze information. Example in Everyday Life: They are called “Generative” AI because they have the ability to generate new content rather than just analyzing or processing existing information. Breaking It Down Simply:Traditional AI systems focus on recognizing patterns and…

  • Understanding Large Quantitative Models (LQM) in Simple Terms

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    Hichem Benzair
    in

    A Large Quantitative Model (LQM) is an AI system that specializes in analyzing massive numerical datasets to find patterns and make predictions. Unlike Large Language Models (LLMs) that focus on text, LQMs handle numbers, statistics, and calculations. Think of Large Language Models (LLMs) => Language = words. Large Quantitative Model (LQM) => Quantity = number.…

  • How Do LLMs Understand Words with Multiple Meanings?

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    Thomas Bedard
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    Embeddings! They are ways to convert words, sentences or even full fledged documents into numerical representations (vectors) that computers can understand. You can think of embeddings as translating human language into a form that machines can easily process and analyze. To better understand embeddings, let’s start with a simple analogy. Let’s say you are arranging…

  • What is AI?

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    Business Physics
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    Video from the Business Physics AI Lab Introduction Artificial Intelligence (AI) has emerged as one of the most transformative technologies of our time. To make sense of its role and potential, AI has often been compared to familiar metaphors: a know-it-all brother-in-law, a horse for a cowboy or cowgirl, and a super or power tool.…

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