openai-cookbook
pal
Our great sponsors
| openai-cookbook | pal | |
|---|---|---|
| 213 | 4 | |
| 55,650 | 433 | |
| 2.6% | 2.8% | |
| 9.6 | 3.1 | |
| 5 days ago | 10 months ago | |
| MDX | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openai-cookbook
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
-
How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
-
Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
-
Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
-
Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
- Using GPT-4 as “reference-free” evaluators
pal
-
Prompt Engineering Guide: Guides, papers, and resources for prompt engineering
Using the terminology that I'm working with this is an example of a second-order analytic augmentation!
Here's another approach of second-order analytic augmentation, PAL: https://reasonwithpal.com
And third-order, Toolformer: https://arxiv.org/abs/2302.04761
The difference isn't in what is going on but rather with framing the approach within the analytic-synthetic distinction developed by Kant and the analytic philosophers who were influenced by his work. There's a dash of functional programming thrown in for good measure!
I have scribbled on a print-out of the article on my desk:
Nth Order - [R] Faithful Chain-of-Thought Reasoning
-
GPT-3: Techniques to improve reliability
GitHub: https://github.com/reasoning-machines/pal
tl;dr -- LLMs are bad at basic arithmetic and logic (as their opening examples with math word problems show), but they do much better if instead of asking them for the answer, you ask for code to compute the answer. Then evaluate or run the code to get the answer.
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
memprompt - A method to fix GPT-3 after deployment with user feedback, without re-training.
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
empirical-philosophy - A collection of empirical experiments using large language models and other neural network architectures to test the usefulness of metaphysical constructs.
askai - Command Line Interface for OpenAi ChatGPT
qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
temporal-graph-gen - Pre-trained models for our work on Temporal Graph Generation
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Prompt-Engineering-Guide - 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering