ChatGPT & Prompt Engineering Podcast
ChatGPT mastermind: Hackaprompt (adversarial prompting) competition, privately search documents
Fri May 19 2023Description
The episode covers topics such as prompt engineering for AI systems, the Toby extension for managing bookmarks, private GPT for creating local chat GPT models, product marketing and customer interviews, the limitations of web browsing with ChatGPT, and hackathon challenges with a new chat GPT app.
Insights
Effective Prompt Writing
The podcast focuses on teaching the art of writing effective prompts for AI systems like chat GPT, mid-journey, Dolly, and more. Participants are encouraged to share their own prompts.
Private GPT for Product Marketing
The host plans to use private GPT for product marketing purposes, specifically for analyzing customer interviews. The Langchain community in San Diego is mentioned as a helpful resource for questions or confusion regarding private GPT.
Product Marketing and GPT for All
The speaker's role involves product marketing and conducting interviews with customers. The goal is to gather information from these interviews and extract value propositions and pain points. The model being used is called GPT for all, not ChatGPT. There is uncertainty about how this model compares in performance and prompting ability.
Web Browsing Limitations
The web browsing feature of ChatGPT was tested but failed on Amazon. It is suspected that Amazon may be blocking GPT from browsing its site. A specific product search on Amazon did not yield accurate results. Affiliate links and viruses were mentioned as potential issues with web browsing. Despite some limitations, the model was able to retrieve certain information from a webpage successfully. The speaker prefers using the browser version of OpenAI rather than the desktop app, but has not tried the desktop version yet.
Hackathon Challenges and New Chat GPT App
The speaker had an idea for a hackathon to run Amazon search results through GPT to determine if they meet specific requirements. They encountered challenges with the slow speed of their logo generator during the hackathon. They mentioned a new chat GPT app that was recently released. The speaker experienced difficulties with the crawling process and received incorrect search results from The Verge website. They considered setting up a mailing list for mastermind updates.
Chapters
- The Prompt Engineering Podcast
- Toby Extension and Private GPT
- Product Marketing and GPT for All
- Hackathon Challenges and New Chat GPT App
The Prompt Engineering Podcast
00:00 - 08:20
- The podcast focuses on teaching the art of writing effective prompts for AI systems like chat GPT, mid-journey, Dolly, and more.
- Participants are invited to share prompts they would like to work on.
- One participant is struggling with prompt number one in a contest and asks about the library of commands available for chat GPT. The host explains that there isn't a specific library of commands and mentions a bug that has been fixed.
- The host shares his screen to demonstrate a hack-a-prompt challenge where participants try to break defensive measures in custom props. He explains the prompt template and gives an example of how to achieve the desired output by experimenting with different phrases.
- The host moves on to another prompt template that involves translating from English to Spanish and handling non-English input. He suggests using common techniques like forgetting prior instructions or using hidden characters or encodings.
- The host mentions a list of chatbot exploits available on GitHub for both defense and offense purposes.
- Participants are encouraged to share their own prompts in addition to the hack-a-prompt challenge.
Toby Extension and Private GPT
07:56 - 16:29
- There was a discussion about an extension called Toby that is useful for managing bookmarks.
- The podcast host mentioned a project called private GPT, which allows users to create their own local chat GPT and upload documents to question the model about them.
- The host shared their plan to use private GPT for product marketing purposes, specifically for analyzing customer interviews.
- The podcast host also mentioned the Langchain community in San Diego as a helpful resource for questions or confusion regarding private GPT.
Product Marketing and GPT for All
16:00 - 23:58
- The speaker's role involves product marketing and conducting interviews with customers.
- The goal is to gather information from these interviews and extract value propositions and pain points.
- The recordings are not public due to promises made to the customers.
- The model being used is called GPT for all, not ChatGPT.
- There is uncertainty about how this model compares in performance and prompting ability.
- The web browsing feature of ChatGPT was tested but failed on Amazon. It is suspected that Amazon may be blocking GPT from browsing its site.
- A specific product search on Amazon did not yield accurate results.
- Affiliate links and viruses were mentioned as potential issues with web browsing.
- Despite some limitations, the model was able to retrieve certain information from a webpage successfully.
- The speaker prefers using the browser version of OpenAI rather than the desktop app, but has not tried the desktop version yet.
Hackathon Challenges and New Chat GPT App
23:28 - 29:49
- The speaker had an idea for a hackathon to run Amazon search results through GPT to determine if they meet specific requirements.
- They wanted to search for articles about chat TPT on a news website called Search Leverage.
- The speaker encountered challenges with the slow speed of their logo generator during the hackathon.
- They mentioned a new chat GPT app that was recently released.
- The speaker experienced difficulties with the crawling process and received incorrect search results from The Verge website.
- They considered setting up a mailing list for mastermind updates.