GPT Projects – ChatBots, Iterative GPT, Plugins, Avatars
A practical look at the very latest advanced GPT Projects. We build avatars, iterative (auto) GPT4 models, stand-alone GPT models runnings on a laptop, create ChatGPT Plugins for live data analysis, and much more. We will make use of ChatGPT for a lot of the coding, but a basic knowledge of Python and GPT is beneficial.
OpenAI have granted Duforest AI early access to both the GPT-4 API and ChatGPT Plugin development environment.
Email us if you would like to be kept informed.
We are currently finalising the syllabus, and completing the testing of this course. Please email us if you would like to receive details once the course is ready for presentation.
This GPT Projects training course designed specifically for IT personnel or those with a technical background. This course will answer key questions such as ‘What are ChatGPT Plugins and how do you create one?’ and ‘How can the ChatGPT API be used to best effect within a ChatBot, and how do I create one from scratch?’
This GPT Projects training course is available as a private presentation, uniquely tailored to meet the needs of your company or team. Additionally, it is accredited for 7 CPD hours.
Please do not hesitate to email us if you would like more information about this ‘GPT Projects’ course.
A personalised certificate will be presented to everyone successfully completing this ‘GPT Projects’ course.
Prompt Library – 1000+ prompts
Delegates will receive a comprehensive library of prompts in PDF or Notion format, covering a wide range of topics and administrative tasks. These prompts can be utilised as a valuable daily resource.
Delegates will have the opportunity to join our exclusive Discord server and WhatsApp communities, enabling them to connect with others who have completed the ChatGPT Mastery course. These resources offers a platform for sharing experiences, discussing best practices, and seeking ongoing support from Duforest AI.
We offer a 25% Early Bird Discount for any booking made at least one month in advance of a presentation date.
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