chatgpt-failures
llama_index
| chatgpt-failures | llama_index | |
|---|---|---|
| 20 | 75 | |
| 574 | 31,389 | |
| - | 5.3% | |
| 1.2 | 10.0 | |
| about 1 year ago | 3 days ago | |
| Python | Python | |
| - | MIT License |
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chatgpt-failures
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OpenAI Research Says 80% of U.S. Workers' Jobs Will Be Impacted by GPT
Related / fun :
https://emaggiori.com/chatgpt-fails/
(I don't know the author or the book.)
https://github.com/giuven95/chatgpt-failures
"Plausible explanations
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People still behaving like everything is normal!
There is a whole list of ChatGPT failures here. Such as the time traveling user error. Why did it insist the user had time traveled? Because when it made the initial error it feed that error into the "attention" of the conversation, using matrix addition, as if it was an authoritative fact of the evolving conversation. That matrix is the only actual piece of the conversation it retains for transforming new input from that user. The matrix addition nonlinear, so ChatGPT can't simply unwind such a mistakes and redo the matrix addition with valid information. So, when pressed, it generates the most "probable" explanation based on the best fit to the existing matrix at that time that defines the "true" state of the conversation as defined by that matrix. The "attention" part of ChatGPT, which is the part that makes it so convincingly powerful, is a matrix state that cannot unwind itself and reflect on how it came to that state. There is, and cannot be, a self correction mechanism using such a mechanism (matrix) to define the state of a conversation.
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GPT-4
Is anybody compiling a list of errors specific to GPT-4?
This has been a great resource to-date:
https://github.com/giuven95/chatgpt-failures
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Thoughts on ChatGPT and the future of e-commerce
As a result, it confidently asserts obvious inaccuracies, like "it takes 9 women 1 month to make a baby."
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Amid ChatGPT outcry, some teachers are inviting AI to class
Here's a github repo of chatGPT failing. There's a PopSci article describing what chatGPT is doing, why it's susceptible to errors: It's trying to predict what words are used together, irrespective of what information is correct.
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Just got Access !
You could try any of the prompts ChatGPT failed from here https://github.com/giuven95/chatgpt-failures
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The new Bing AI hallucinated during the Microsoft demo. A reminder these tools are not reliable yet
In this article, the author Dmitri Brereton shows some mistakes the Bing AI committed in the recent Microsoft demo. I have archived more failure case examples in this repo: https://github.com/giuven95/chatgpt-failures
- L'etica della robotica. Io contro chatGTP
- How worried are you about AI replacing you
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ChatGPT updated with improved factuality and mathematical capabilities.
Previously it said 1.
llama_index
- LlamaIndex: A data framework for your LLM applications
- FLaNK AI - 01 April 2024
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Show HN: Ragdoll Studio (fka Arthas.AI) is the FOSS alternative to character.ai
For anyone curious llamaindex's "prompt mixins", they're actually dead simple: https://github.com/run-llama/llama_index/blob/8a8324008764a7... - and maybe no longer supported.
I basically reinvented this wheel in ragdoll but made it more dynamic: https://github.com/bennyschmidt/ragdoll/blob/master/src/util...
- LlamaIndex is a data framework for your LLM applications
- How to verify that a snippet of Python code doesn't access protected members
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🆓 Local & Open Source AI: a kind ollama & LlamaIndex intro
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects
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I made an app that runs Mistral 7B 0.2 LLM locally on iPhone Pros
Mistral Instruct does use a system prompt.
You can see the raw format here: https://www.promptingguide.ai/models/mistral-7b#chat-templat... and you can see how LllamaIndex uses it here (as an example): https://github.com/run-llama/llama_index/blob/1d861a9440cdc9...
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Top 5 Vector Database Videos of 2023 🎥
Learn how to use Milvus as persistent vector storage with LlamaIndex in under 5 minutes.
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What's going on in the Zilliz Universe? December 2023
▶️ Read Blog 📷 Watch Demo 🦙 Notebook using Pipelines inside LlamaIndex
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First 15 Open Source Advent projects
15. LlamaIndex | Github | tutorial
What are some alternatives?
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.
langchain - 🦜🔗 Build context-aware reasoning applications
Milvus - A cloud-native vector database, storage for next generation AI applications
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
reflex - 🕸️ Web apps in pure Python 🐍
llama.cpp - LLM inference in C/C++
gpt-llama.cpp - A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.