![]() By the end of this ebook, you will have gained a solid understanding of generative AI and prompt engineering, enabling you to apply these techniques to your own projects effectively. It will explore the capabilities and limitations of popular AI models, detail the process of designing effective prompts, and discuss the ethical considerations that arise when working with these technologies. This ebook will delve into the key concepts, best practices, and real-world applications of generative AI and prompt engineering. If so, Mastering Generative AI and Prompt Engineering: A Practical Guide for Data Scientists from Data Science Horizons is a great place to start. ![]() But beyond the basics, what do you really know about either? Perhaps you would find a concise, focused ebook on the topics useful. In short, generative AI - and the prompts that power them - are everywhere. They, too, rely on well-crafted prompts in order to perform useful generation. You have likely heard of, and used, image generation models such as DALL-E, Stable Diffusion, and Midjourney. Text is not the only generative models around, either. However, state of the art in such tasks is now the sole territory of GPT, and they have caught on like wildfire in the recent few months even though they existed in lesser forms for years prior to the ChatGPT explosion. ![]() There were natural language processing models prior to their existence that we able to perform similar tasks, some still in use today. GPT (and other LLMs) are not the only generative AIs. ![]() I don't even need to cite anything here because you are familiar with numerous instances. But GPT is already having far-reaching effects on how we live, work, and play. When stated like this, it really doesn't sound like much. GPT stands for Generative Pre-trained Transformer, referring to a family of large language models (LLMs) that are trained on existing text data and are able to statistically predict the next word or token in a sequence of words. Everyone has been talking about it, what it can do, how we can leverage it… and why we should fear it. Since its release in late November 2022, ChatGPT has taken over personal, professional, and public discourse. Mastering Generative AI and Prompt Engineering: A Practical Guide for Data Scientists ebook cover ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |