🔥 Post Graduate Program in Generative AI and ML: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training

In this video on, *DeepSeek vs OpenAI*, we’ll dive into the intense competition between these two AI giants. We'll start by examining how DeepSeek R1 is challenging OpenAI with its groundbreaking advancements and cost efficiency. Next, we’ll compare their architectures, performance benchmarks, and real-world applications to see which model comes out on top. Then, we’ll guide you through the installation process and run a hands-on demo to showcase DeepSeek R1’s capabilities. Finally, we’ll discuss the future of AI and what this rivalry means for the global AI landscape.

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What are Outcomes after learning Generative AI course ?

(i) Upon completing the Introduction to Generative AI Fundamentals Course, participants will attain the following learning outcomes:
(ii) Develop a comprehensive understanding of generative AI, including its principles, applications, and significance across various domains.
(iii) Gain practical experience through interactive sessions and exercises, enabling participants to apply theoretical concepts to real-world scenarios.
(iv) Familiarize with popular generative AI algorithms such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models.
(v) Explore the creative potential of generative AI in generating realistic images, text, music, and other forms of media, fostering innovation and experimentation.
(vi) Understand the ethical implications and considerations associated with generative AI, including privacy, bias, and misuse, and learn strategies to address them responsibly.

By the course's conclusion, learners will be equipped with the foundational understanding, practical skills, and ethical awareness necessary to leverage generative AI effectively and responsibly in their respective fields.

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