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In the realm of technology, becoming proficient in using the most recent generation of generative\u00a0artificial intelligence (AI)\u00a0tools 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.\u00a0To 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.<\/p>\n
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.<\/p>\n
One will discover how to use large language models (LLMs) to quickly build effective apps in the course \u201cChatGPT Prompt Engineering for Developers\u201d taught by Andrew Ng and Isa Fulford. Users can now create capabilities that were either too expensive, too complicated or perhaps impossible by using the OpenAI API. <\/p>\n
This course includes best practices for prompt engineering, insights into how LLMs work and examples of how to use LLM APIs for various tasks. Summarizing user evaluations, determining sentiments, identifying subjects, translating or fixing grammar in text, and expanding material by automatically producing emails are some of these tasks.<\/p>\n
The course focuses on two essential principles for writing strong prompts and walks you through methodical prompt engineering. You will also have the chance to create a unique chatbot. You will learn useful skills in timely engineering with the help of various examples and a Jupyter Notebook environment for practical experience.<\/p>\n
This training, which is being provided in collaboration with OpenAI, intends to give developers the knowledge and abilities they need to use LLMs effectively. This course is appropriate for you regardless of your level of Python proficiency or your interest in exploring cutting-edge prompt engineering and LLM usage.<\/p>\n
Enrol in the course \u201cLangChain for LLM Application Development\u201d\u00a0to learn vital abilities for enhancing language models\u2019 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.<\/p>\n
Participants will have a model by the end of the course that may be used as a jumping-off point for more research and diffusion model application development. This hour-long workshop, taught by Andrew Ng and LangChain co-founder Harrison Chase, equips participants to build reliable applications quickly. The course is suitable for beginners; however, some familiarity with Python is helpful. <\/p>\n
Related:\u00a05 free artificial intelligence courses and certifications<\/em><\/strong><\/p>\n Participants who want to create diffusion models from scratch should take the \u201cHow Diffusion Models Work\u201d\u00a0course. This intermediate-level 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.<\/p>\n 1\/Thrilled to announce: 3 new Generative AI courses!How Diffusion Models Work<\/h2>\n
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* Building Systems with the ChatGPT API, with OpenAI\u2019s @isafulf<\/a>
* LangChain for LLM Application Development, with LangChain\u2019s @hwchase17<\/a>
* How Diffusion Models Work, by @realSharonZhou<\/a>
Check them out: https:\/\/t.co\/IN454k1Wz6 pic.twitter.com\/85BP6YbmmZ<\/a><\/p>\n