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HOME    >    IB   >   2025 CASE STUDY    >    USEFUL LINKS
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2025 CASE STUDY | THE PERFECT CHATBOT

USEFUL LINKS
DESIGNED FOR IB EXAMINATIONS
Towards Data Science - Understanding Transformers:
  • Link:​ Understanding Transformers
  • Description: This article provides an in-depth look at transformer neural networks, explaining their architecture and how they have revolutionized natural language processing tasks.

Google AI Blog - Machine Learning Fairness:
  • Link: Machine Learning Fairness
  • Description: This blog post discusses fairness in machine learning, including biases in datasets and strategies to ensure equitable AI systems.

OpenAI - GPT-4:
  • Link: GPT-4 Overview
  • Description: This page provides an overview of GPT-3, one of the most advanced large language models, explaining its capabilities and applications.

Kaggle - Datasets for Natural Language Processing:
  • Link: Kaggle NLP Datasets
  • Description: Kaggle offers a wide range of datasets for natural language processing tasks, which can be useful for training and improving chatbot models.

Coursera - AI For Everyone by Andrew Ng:
  • Link: AI For Everyone
  • Description: This course by Andrew Ng provides a comprehensive introduction to artificial intelligence, including ethical considerations and applications in various domains.

IBM - What is Cloud Computing?:
  • Link: IBM Cloud Computing
  • Description: This resource explains cloud computing fundamentals, including its benefits and how it can be used to scale AI applications like chatbots.

Microsoft AI School - Introduction to Machine Learning:
  • Link: Introduction to Machine Learning
  • Description: This introductory course covers the basics of machine learning, including key concepts, algorithms, and practical applications.

Ethics of AI by MIT Media Lab:
  • Link: Ethics of AI
  • Description: MIT Media Lab's project on the ethics of AI explores the moral implications of artificial intelligence and provides guidelines for responsible AI development.

NVIDIA - GPU-Accelerated Machine Learning:
  • Link: GPU-Accelerated Machine Learning
  • Description: NVIDIA's resource on GPU-accelerated machine learning explains how GPUs can be used to speed up AI tasks, particularly in deep learning and natural language processing.
2025 CASE STUDY CONTENTS
    ☑ ​ABOUT THE CASE STUDY
    ​☑ ​CASE STUDY RELATED VIDEOS
    ☑ ​LATENCY
    ☑ LINGUISTIC NUANCES
    ☑ ARCHITECTURE
    ☑ DATASET
    ☑ ​PROCESSING POWER
    ☑ ETHICAL CHALLENGES
    ☑ FURTHER RESEARCH
​TOPIC EXTRAS
    ☑ TERMINOLOGY
    ☑ FLIP CARDS
    ☑ SAMPLE PAPERS
    ➩ USEFUL LINKS
    ☐ SAMPLE ANSWERS
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