Artificial Intelligence Unit 5 Notes AKTU (BCAI501)

AKTU · BTECH · Semester 5 · Artificial Intelligence · Unit 5 · Notes

AKTU Artificial Intelligence (BCAI501) Unit 5 notes for B.Tech Semester 5 – Applications. Topics: AI Applications, Language Models, Information Retrieval…

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Unit 5: Applications – AKTU syllabus topics

  • AI Applications
  • Language Models
  • Information Retrieval Extraction: Information Retrieval, Information Extraction
  • Natural Language Processing: Machine Translation, Speech Recognition
  • Robotics: Robot Hardware, Robot Perception, Robot Planning, Robot Moving

Most asked AKTU PYQ questions from Unit 5

  1. Q2e. Describe the role of information retrieval systems in modern AI applications. (7 marks, 2025-26)
  2. Q7b. Explain how tokenization impacts natural language processing tasks. (7 marks, 2024-25)
  3. Q2e. Discuss the process and significance of information retrieval in AI. (7 marks, 2024-25)
  4. Q1g. Define the characteristics of Information retrieval. (2 marks, 2022-23)
  5. Q1i. Differentiate between machine translation & Speech recognition. (2 marks, 2022-23)
  6. Q6a. Provide examples of how supervised or reinforcement learning can enhance the decision-making capabilities of AI systems (10 marks, 2023-24)
  7. Q7b. Discuss emerging trends in Machine Translation, including potential advancements and challenges in the future (10 marks, 2023-24)
  8. Q7b. Analyze the speech recognition techniques including acoustic modeling and language modeling. (7 marks, 2025-26)
  9. Q1g. Explain the concept of speech recognition. (2 marks, 2025-26)
  10. Q1g. Explain the concept of machine translation. (2 marks, 2024-25)

AKTU paper codes: BCAI501, KCAI501

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