On episode #209 of the Wisco Weekly podcast hosted on 24Hour Journal, we feature prompt engineer, Upwork freelancer, and podcast host, Greg Schwartz.
Greg Schwartz is a Prompt Engineer, Fullstack Engineer, User Experience Designer, and User Researcher with 18 years of experience. He possesses in-depth knowledge of ChatGPT3, GPT4, machine learning (ML), natural language processing (NLP), large language models (LLM), and conversational AI. Greg's expertise lies in simplifying complex ideas into elegant and holistic experiences, effectively transforming technical writing into accessible content. His proficiency in coding with Typescript, Javascript, and Ruby further enhances his effectiveness in various roles, encompassing code writing, prompt crafting, and product design. Greg also hosts the Prompt Engineering podcast.
Episode Chapters
I. Think of ChatGPT as an “intern” (03:58)
II. How to develop frameworks for prompts (06:37)
III. Difference between ChatGPT vs other generative AI systems (16:08)
IV. Who does the Prompt Engineer hire? (18:27)
V. Market opportunities for Prompt Engineers (24:26)
VI. Scenario: How gen-AI ensures work viability and life survivability for a digital nomad (33:12)
Sign up for Greg Schwartz’s Master ChatGPT course here.
Listen to the Prompt Engineering Podcast here.
Hire Greg on Upwork here.
TIP: 3 attempts asking Bard where to invest $3,000
One of the most frequent questions I entertain is, “Where do I invest my money?” Since generative AI like ChatGPT and Bard are alleged to replace most knowledge workers, I ran a quick experiment. I asked Bard, “I have $3,000 to invest. Where should I invest my money?”
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