Exploring Current and Evolving Applications of Generative AI
Generative AI deep dive - Applications of generative AI, technical architecture, risk, bias, ethical concern in generative AI, Foundation model are described here. In addition there are advance topics related to custom model training. There is also industry specific analysis.
Economica of Data
Applications |
Text Generation |
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Code |
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Image |
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Voice and Videos |
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Music generation |
Tone for mobile, other |
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Data set for AI |
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Text generation: Generative AI can be used to generate text, such as news articles, blog posts, and product descriptions. This can be helpful for businesses that need to produce a lot of content on a regular basis.
Image generation: Generative AI can be used to generate images, such as product renders, marketing materials, and even art. This can be helpful for businesses that need to create visual content for their products or services.
Audio generation: Generative AI can be used to generate audio, such as music, podcasts, and audiobooks. This can be helpful for businesses that need to create audio content for their products or services.
Code generation: Generative AI can be used to generate code, such as software applications and web pages. This can be helpful for businesses that need to develop new software or websites.
In addition to these general applications, generative AI is also being used for a variety of more specialized applications, such as:
Drug discovery: Generative AI can be used to discover new drugs by generating new molecules that have the potential to be effective treatments for diseases.
Fraud detection: Generative AI can be used to detect fraudulent transactions by generating synthetic data that mimics real-world data.
Customer service: Generative AI can be used to create chatbots that can answer customer questions and resolve issues.
Education: Generative AI can be used to create personalized learning experiences for students by generating content that is tailored to their individual needs.
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