prompting
transynthetical-engine
prompting | transynthetical-engine | |
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1 | 6 | |
17 | 26 | |
- | - | |
5.3 | 6.2 | |
12 months ago | about 1 year ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
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prompting
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Native JSON Output from GPT-4
Coincidentally, I just published this JS library[1] over the weekend that helps prompt LLMs to return typed JSON data and validates it for you. Would love feedback on it if this is something people here are interested in. Haven’t played around with the new API yet but I think this is super exciting stuff!
[1] https://github.com/jacobsimon/prompting
transynthetical-engine
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Native JSON Output from GPT-4
Here’s an approach to return just JavaScript:
https://github.com/williamcotton/transynthetical-engine
The key is the addition of few-shot exemplars.
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The Dual LLM pattern for building AI assistants that can resist prompt injection
I think the two-layer approach is worthwhile if only for limiting tokens!
Here’s an example of what I mean:
https://github.com/williamcotton/transynthetical-engine#brow...
By keeping the main discourse between the user and the LLM from containing all of the generated code and instead just using that main “thread” to orchestrate instructions to write code it allows for more back-and-forth.
It’s a good technique in general!
I’m still too paranoid to execute instructions via email without a very limited set of abilities!
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Prompt Engineering vs. Blind Prompting
Here is an example of some prompt engineering in order to build augmentations for factual question-and-answer as well as building web applications:
https://github.com/williamcotton/transynthetical-engine
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Ask HN: People who were laid off or quit recently, how are you doing?
Hey Simon! I've been digging your writings on LLMs lately.
I've been having some decent luck with some of the approaches that I've discussed in the following articles and projects:
From Prompt Alchemy to Prompt Engineering: An Introduction to Analytic Augmentation: https://github.com/williamcotton/empirical-philosophy/blob/m...
https://www.williamcotton.com/articles/writing-web-applicati...
https://github.com/williamcotton/transynthetical-engine
I'd love to hear your thoughts on the matter!
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We need to tell people ChatGPT will lie to them, not debate linguistics
Sure you can. The easiest way is to go to https://chat.openai.com/chat and paste in a Wikipedia article.
There are more involved manners like this: https://github.com/williamcotton/transynthetical-engine/blob...
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ChatGPT-Linux-Assistant
Parsel : A (De-)compositional Framework for Algorithmic Reasoning with Language Models
https://arxiv.org/abs/2212.10561
Here's a notebook with an introduction:
https://github.com/ezelikman/parsel/blob/main/parsel.ipynb
And here's a GUI interface the author has been developing:
http://zelikman.me/parsel/interface.html
I've been working on an augmented large language model that given these few-shot exemplars can build the below fully-functional ToDo App: ==
https://github.com/williamcotton/transynthetical-engine/tree...
https://www.williamcotton.com/articles/junie-browser-builder...
All of this is still very rough around the edges, prone to errors of various kinds, and generally not ready for prime time, but anyone is welcome to play around with what is there!
What are some alternatives?
ai-study-planner - AI Study Planner using Next.js 13, Google PaLM API and TailwindCSS
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
prxmpt - Prompt Crafting with JSX
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
convert-js-to-ts - Convert your plain Javascript project to Typescript using AI
chrono - A natural language date parser in Javascript
sugarcane-ai - npm like package ecosystem for Prompts 🤖
chatgpt-linux-assistant - An ai assistant in your CLI. But it knows what's on your system and can help you get things done.
geppetto - Your personal assistant with ChatGPT and Linux superpowers, ready for any task!
openai-cookbook - Examples and guides for using the OpenAI API
empirical-philosophy - A collection of empirical experiments using large language models and other neural network architectures to test the usefulness of metaphysical constructs.
yolo-ai-cmdbot - AI bot that translates your question to a command and executes it yolo style