Description

Book Synopsis

Chapter 1. Introduction to Multimodal Generative AI.- Chapter 2. ChatGPT and BERT: Comparative Analysis of Various Natural Language Processing Applications.- Chapter 3. Large Language Model on Multi-Modal Data.- Chapter 4.  Adaptive Learning Technologies: Navigating the Road from Hype to Reality.- Chapter 5. Generative Artificial Intelligence in Visual Content: A Review of the Influence on Consumer Perception and Perspective.- Chapter 6. Text-to-Image Synthesis: Techniques and Applications.- Chapter 7. Image-to-Text Generation: Bridging Visual and Linguistic Worlds.- Chapter 8. Sustainability in the Metaverse: Challenges, Implications, and Potential Solutions.- Chapter 9. Transcendent Artificial Intelligence in Education.- Chapter 10. Chat GPT in Academia and Research - A Comprehensive Review of Integrating AI in Higher Education.- Chapter 11. Exploring Multimodal Hate Speech Detection Using Machine Learning and Deep Learning Models.- Chapter 12. Multimodal Generative AI for People with Disabilities.- Chapter 13.                Single-Modality to Multimodality: The Evolutionary Trajectory of Artificial Intelligence in Integrating Diverse Data Streams for Enhanced Cognitive Capabilities.- Chapter 14. Interfacing Multimodal AI with IoT: Unlocking New Frontiers.-Chapter 15. Enhancing Safety and Reliability in VANETs for Autonomous Vehicles by M-XAI (Multi Model- Explainable-AI) .- Chapter 16. Future Directions In Multimodal Genrative AI.

Multimodal Generative AI

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    A Hardback by Akansha Singh

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      View other formats and editions of Multimodal Generative AI by Akansha Singh

      Publisher: Springer
      Publication Date: 3/17/2025
      ISBN13: 9789819623549, 978-9819623549
      ISBN10: 9819623545
      Also in:
      Image processing

      Description

      Book Synopsis

      Chapter 1. Introduction to Multimodal Generative AI.- Chapter 2. ChatGPT and BERT: Comparative Analysis of Various Natural Language Processing Applications.- Chapter 3. Large Language Model on Multi-Modal Data.- Chapter 4.  Adaptive Learning Technologies: Navigating the Road from Hype to Reality.- Chapter 5. Generative Artificial Intelligence in Visual Content: A Review of the Influence on Consumer Perception and Perspective.- Chapter 6. Text-to-Image Synthesis: Techniques and Applications.- Chapter 7. Image-to-Text Generation: Bridging Visual and Linguistic Worlds.- Chapter 8. Sustainability in the Metaverse: Challenges, Implications, and Potential Solutions.- Chapter 9. Transcendent Artificial Intelligence in Education.- Chapter 10. Chat GPT in Academia and Research - A Comprehensive Review of Integrating AI in Higher Education.- Chapter 11. Exploring Multimodal Hate Speech Detection Using Machine Learning and Deep Learning Models.- Chapter 12. Multimodal Generative AI for People with Disabilities.- Chapter 13.                Single-Modality to Multimodality: The Evolutionary Trajectory of Artificial Intelligence in Integrating Diverse Data Streams for Enhanced Cognitive Capabilities.- Chapter 14. Interfacing Multimodal AI with IoT: Unlocking New Frontiers.-Chapter 15. Enhancing Safety and Reliability in VANETs for Autonomous Vehicles by M-XAI (Multi Model- Explainable-AI) .- Chapter 16. Future Directions In Multimodal Genrative AI.

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