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IBM ๐ Coursera. We just released the Generative AI Fundamentals Specialization. You can enroll now and this is what you will learn: ๐ญ/ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ - Describe generative AI and distinguish it from discriminative AI. - Describe the capabilities of generative AI and its use cases in the real world. - Identify the applications of generative AI in different sectors and industries. - Explore common generative AI models and tools for text, code, image, audio, and video generation. ๐ฎ/ ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐๐ฎ๐๐ถ๐ฐ๐ - Explain the concept and relevance of prompt engineering in generative AI models. -Apply best practices for creating prompts and explore examples of impactful prompts. - Practice common prompt engineering techniques and approaches for writing effective prompts. - Explore commonly used tools for prompt engineering to aid with prompt engineering. ๐ฏ/ ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐ฎ๐ป๐ฑ ๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ๐ - Describe the fundamental concepts of generative AI and its core models - Explain the concept of foundation models in generative AI - Explore the capabilities of pre-trained models for AI-powered applications. - Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face ๐ฐ/ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐๐บ๐ฝ๐ฎ๐ฐ๐, ๐๐ผ๐ป๐๐ถ๐ฑ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐, ๐ฎ๐ป๐ฑ ๐๐๐ต๐ถ๐ฐ๐ฎ๐น ๐๐๐๐๐ฒ๐ - Describe the limitations of generative AI and the related concerns. - Identify the ethical issues, concerns, and misuses associated with generative AI. - Explain the considerations for the responsible use of generative AI. - Discuss the economic and social impact of generative AI.
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