empirical-philosophy
magma-chat
empirical-philosophy | magma-chat | |
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9 | 4 | |
141 | 206 | |
- | 4.9% | |
2.5 | 8.4 | |
about 1 year ago | 9 months ago | |
TypeScript | Ruby | |
- | GNU General Public License v3.0 or later |
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empirical-philosophy
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Google “We Have No Moat, and Neither Does OpenAI”
One way that I've been framing this in my head (and in an application I'm building) is that gpt-3 will be useful for analytic tasks where as gpt-4 will be required for synthetic tasks. I'm using "analytic" and "synthetic" in the same way as in this writeup https://github.com/williamcotton/empirical-philosophy/blob/m...
- How ReAct Prompting Works in Detail
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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
You’re not actually doing any research.
Here is my research: https://github.com/williamcotton/empirical-philosophy/blob/m...
It is clear that analytic augmentations will result in more factual information.
Your claims are unfounded and untested.
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ChatGPT and Wolfram Is Insane
Take a look at
https://github.com/williamcotton/empirical-philosophy/blob/m...
https://langchain.readthedocs.io/en/latest/
They can be taught!
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Prompt Engineering Guide: Guides, papers, and resources for prompt engineering
I've been developing a methodology around prompt engineering that I have found very useful:
https://github.com/williamcotton/empirical-philosophy/blob/m...
A few more edits and it's ready for me to submit to HN and then get literally no further attention!
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Professor writes history essays with ChatGPT and has students correct them
That's not a rebuttable of a claim that Bing is more accurate.
A proper rebuttable would involve empirical evidence that Bing is no more accurate than other LLM tools that do not add analytical augmentations such as search results to their prompts.
Based on empirical evidence, I find that analytical augmentations do indeed result in more accurate results:
https://github.com/williamcotton/empirical-philosophy/blob/m...
magma-chat
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Run and create custom ChatGPT-like bots with OpenChat
This feels similar to MagmaChat [1] which I open sourced about a month ago. Except mine is in Ruby on Rails.
[1] https://magmachat.ai
- MagmaChat v0.1.0 Released – Rails 7-based ChatGPT bot platform
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Google “We Have No Moat, and Neither Does OpenAI”
If you're technical just get yourself OpenAI API access which is super cheap and hook it up to your own self-hosted ChatGPT clone like https://github.com/magma-labs/magma-chat
The wait for GPT-4 is not as long as it used to be, and when you're using the API directly there's no censorship.
- Show HN: Open-Source ChatGPT Bot Platform Written in Ruby on Rails 7
What are some alternatives?
pal - PaL: Program-Aided Language Models (ICML 2023)
OpenChat - LLMs custom-chatbots console ⚡
guardrails - Adding guardrails to large language models.
IF
datasette-chatgpt-plugin - A Datasette plugin that turns a Datasette instance into a ChatGPT plugin
convostack - Plug and play embeddable AI chatbot widget and backend deployment framework
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.
gpt-jargon - Jargon is a natural language programming language specified and executed by LLMs like GPT-4.
stable-diffusion-webui - Stable Diffusion web UI
lmql - A language for constraint-guided and efficient LLM programming.
serge - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.