The Changelog: Software Development, Open Source GPT has entered the chat (Interview)
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Dec 16, 2022 In this engaging discussion, Shawn "swyx" Wang, an AI researcher and writer known for his insights on L-Space Diaries and GitHub, dives deep into the world of AI and ChatGPT. He explains prompt engineering and its significance in enhancing AI outputs. The conversation touches on how AI is reshaping creativity and the coding landscape. Wang also discusses the implications of Microsoft’s investments in AI and the shift between centralization and decentralization in the industry. Expect a thought-provoking exploration of future trends and the balance of human ingenuity with AI advancements.
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Prompt Engineering Smell
- Prompt engineering is brittle and relies on implementation details.
- Robust natural language understanding is the ultimate goal, not keyword hacks.
From Giddy to Grumpy
- Jerod Santo's initial excitement for prompt engineering turned to frustration. He found it cumbersome to use esoteric prompts for Stable Diffusion 1.0.
Data is the New Oil (Again)
- Large language models require massive datasets, giving companies with extensive data a competitive advantage. This data is used to train these models, not just analyze them.