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GenAI for Research and Development
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 55m | Size: 464 MB
Master GenAI for Research and Development, Data Generation and Prototype creation!
What you'll learn
Master Generative AI for Research and Development
Learn Prototype creations with Generative AI
Learn data generation concept
Learn how to use Generative AI in various applications for Research and Development
Requirements
No Prerequisities
Description
You will learn Generative AI for Research and Development. Generative Artificial Intelligence (AI) refers to AI systems that can create new content-text, images, music, or even video-based on patterns learned from existing data. This technology harnesses deep learning models, particularly neural networks like Generative Adversarial Networks (GANs) and transformers, to produce outputs that often mimic human creativity and style.Generative AI is influencing numerous industries. In the creative fields, artists and designers use AI-generated imagery to explore new aesthetics or expedite workflows. For example, musicians employ generative models to compose melodies or provide stylistic inspiration. In business, AI is revolutionizing customer service through chatbots and automated response systems, providing human-like support while saving companies time and resources. Additionally, industries like healthcare are exploring AI's potential for generating medical images, thus aiding in diagnostic processes. Generative AI is influencing numerous industries. In the creative fields, artists and designers use AI-generated imagery to explore new aesthetics or expedite workflows. Generative AI represents a remarkable advance in machine learning and artificial intelligence, blending technical sophistication with creative possibilities. As research and regulatory measures advance, the potential applications of generative AI continue to expand, opening up new frontiers in creativity, productivity, and human-machine interaction. However, navigating its ethical implications will be crucial to ensuring its benefits outweigh its risks.
Who this course is for
Product Managers
Product Researchers
Homepage:
Say "Thank You"
rapidgator.net:
ddownload.com:
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 55m | Size: 464 MB
Master GenAI for Research and Development, Data Generation and Prototype creation!
What you'll learn
Master Generative AI for Research and Development
Learn Prototype creations with Generative AI
Learn data generation concept
Learn how to use Generative AI in various applications for Research and Development
Requirements
No Prerequisities
Description
You will learn Generative AI for Research and Development. Generative Artificial Intelligence (AI) refers to AI systems that can create new content-text, images, music, or even video-based on patterns learned from existing data. This technology harnesses deep learning models, particularly neural networks like Generative Adversarial Networks (GANs) and transformers, to produce outputs that often mimic human creativity and style.Generative AI is influencing numerous industries. In the creative fields, artists and designers use AI-generated imagery to explore new aesthetics or expedite workflows. For example, musicians employ generative models to compose melodies or provide stylistic inspiration. In business, AI is revolutionizing customer service through chatbots and automated response systems, providing human-like support while saving companies time and resources. Additionally, industries like healthcare are exploring AI's potential for generating medical images, thus aiding in diagnostic processes. Generative AI is influencing numerous industries. In the creative fields, artists and designers use AI-generated imagery to explore new aesthetics or expedite workflows. Generative AI represents a remarkable advance in machine learning and artificial intelligence, blending technical sophistication with creative possibilities. As research and regulatory measures advance, the potential applications of generative AI continue to expand, opening up new frontiers in creativity, productivity, and human-machine interaction. However, navigating its ethical implications will be crucial to ensuring its benefits outweigh its risks.
Who this course is for
Product Managers
Product Researchers
Homepage:
Screenshots
Say "Thank You"
rapidgator.net:
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ddownload.com:
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