In the realm of technology, becoming proficient in using the most recent generation of generative artificial intelligence (AI) tools has quickly become essential. These tools, like ChatGPT or Bard, have proven to be fun and have the ability to really help us in a variety of areas of our lives. To aid you in embracing this new era of generative AI, here is a compilation of top-notch courses that can serve as invaluable resources for honing your skills and staying at the forefront of this transformative technology.
One may improve their knowledge and ability to use the power of generative AI to its utmost potential by exploring these instructional materials, ensuring they make the most of these ground-breaking capabilities. For example, the course “ChatGPT Prompt Engineering for Developers” taught by Andrew Ng and Isa Fulford aims to provide users with the knowledge and abilities they need to use large language models (LLMs) effectively. This course includes best practices for prompt engineering, insights into how LLMs work, and examples of how to use LLM APIs for various tasks.
Another course, “LangChain for LLM Application Development,” teaches vital abilities for enhancing language models’ functionality in application development utilizing the LangChain framework. In this course, users will learn how to summon LLMs, write prompts, parse responses, use memory for conversations, create operation sequences, implement question-answering over documents, and explore the evolution of LLMs as reasoning agents.
For those interested in building diffusion models, the “How Diffusion Models Work” course offers a thorough understanding of the models used in the diffusion process. Participants will learn to build their own diffusion model and acquire useful coding skills. The course, led by Sharon Zhou, focuses on creating, refining, and optimizing diffusion models to enhance participants’ generative AI capabilities.
Individuals who want to learn how to automate intricate workflows by making a series of calls to a powerful language model can benefit from the “Building Systems with the ChatGPT API” course. In this one-hour session, taught by Ng of DeepLearning.AI and Fulford of OpenAI, participants will develop a series of prompts that respond to earlier completions, make technologies that allow Python programs to communicate with new prompts and completions, and apply these principles to create a chatbot for customer support.
Lastly, the “Introduction to ChatGPT” course by DataCamp can equip participants with the knowledge needed for effective and responsible use of ChatGPT. This course covers ChatGPT’s capabilities and restrictions, allowing users to discover new integration opportunities, business use cases, and best practice suggestions.
Overall, these courses provide valuable insight for developers and enthusiasts alike, enabling them to stay on the cutting edge of generative AI advancements and enhance their understanding of this rapidly evolving field.
Source: Cointelegraph
