Generative AI has recently seen significant progress, with models like GPT-4 showcasing impressive text generation capabilities. Learning about generative AI is valuable offers opportunities for creative expression, innovation, and personalized content creation across various industries. Understanding generative AI enables individuals to critically evaluate AI-generated content, ensuring responsible usage and addressing potential biases or ethical concerns. Tap into its Generative AI's creative potential, contribute to its development, and navigate the evolving landscape of AI-powered content generation. First, the potential: 1. McKinsey says "Generative AI’s impact on productivity could add trillions of dollars in value to the global economy." mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#key-insights An overview: 2. NVIDIA's introduction to Generative AI: nvidia.com/en-us/glossary/data-science/generative-ai The learning: 3. Google's Generative AI learning path: A free course from introduction to creation cloudskillsboost.google/paths/118 The recent: 4. If you've come thus far, you already know what foundation models are. Have a listen to Microsoft on the next era of AI. microsoft.com/en-us/research/blog/ai-explainer-foundation-models-and-the-next-era-of-ai Watch this space for the best resources to get started and go deep in Generative AI. 5. An interesting discussion on LLM models including tricks and tips of GPT prompts
_%3C-%3E1770936363332_mf32oq12Bs8FtmMl.jpeg){kind=logo}