Have you spent much time with the GPT-3 Playground interface? You might be shocked at how quickly you can get this working
PROMPT ENGINEERING
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Building Systems on GPT-3 with Minimal Example Queries
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I wouldn't be surprised if you could build exactly that on top of GPT-3 using a dozen or so lines of example queries
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AI System Malfunction Responds Only With 42
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anyway its gonna be awhile, seems broken, just says "42" to every prompt?!
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Stanford Microsoft Method Enables Natural Language Model Bug Fixes
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Talking to Models: Stanford U & Microsoft Method Enables Developers to Correct Model Bugs via Natural Language Patches https://
syncedreview.com/2022/11/21/tal
king-to-models-stanford-u-microsoft-method-enables-developers-to-correct-model-bugs-via-natural-language-patches/
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LangChain 0.0.17: Improved Prompt Documentation
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ICYMI: LangChain version 0.0.17 Refactored and improved documentation around prompts
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Lexica: A Search Engine for Stable Diffusion Prompts
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Lexica Art – Stable Diffusion Search Engine (Free) @LexicaArt https://
lexica.art Image generation prompt writing is tricky. Lexica is a Stable Diffusion search engine that shows prompts others have used to generate images (with variations) -

LangChain 0.0.16: Chain Input/Output Comparison and Model Evaluation
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version 0.0.16: compare inputs/outputs on a whole chain Useful for evaluation when you're doing more than just a simple call to an LLM Github: https://
github.com/hwchase17/lang
chain
… How do different models do in @OfirPress
's self-ask w/ search example? https://
colab.research.google.com/drive/1atz4xfZ
LpIHJKD2kf38WnxHv61XU-dwb
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GPT as a General-Purpose Computer Reconfigurable via Natural Language Programs
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If previous neural nets are special-purpose computers designed for a specific task, GPT is a general-purpose computer, reconfigurable at run-time to run natural language programs. Programs are given in prompts (a kind of inception). GPT runs the program by completing the document
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AI Prompting Techniques and Hallucination Challenges
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I spent some time trying to solve this problem through CoT/scratchpads but there were often secondary hallucinations, e.g. over-skepticism of non-trick questions. Nothing seemed to work as well as the zero-shot above.