tempy
gpt_index
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tempy | gpt_index | |
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4 | 48 | |
169 | 7,332 | |
- | - | |
8.3 | 9.8 | |
about 2 months ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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.
tempy
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FLiP Stack Weekly for 21 Jan 2023
Cool Command line Weather https://github.com/noprobelm/tempy
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tempy: render beautiful weather data to your terminal
Don't sweat it, it's probably because of your ssh configuration. You should be able to install exactly as the instructions state if you replace git clone [email protected]:noprobelm/tempy.git with https://github.com/noprobelm/tempy.git.
gpt_index
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Basic links to get started with Prompt Programming
LLAMA Index Github repository
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Leak: Metas GPT-Herausforderer LLaMA als Torrent verfügbar
Zuwendungen kommen auch so langsam ( LLamaIndex ) https://github.com/jerryjliu/gpt_index
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Large language models are having their Stable Diffusion moment
This is exactly what LlamaIndex is meant to solve!
A set of data structures to augment LLM's with your data: https://github.com/jerryjliu/gpt_index
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ChatGPT's API Is So Good and Cheap, It Makes Most Text Generating AI Obsolete
This is what we've designed LlamaIndex for! https://github.com/jerryjliu/gpt_index. Designed to help you "index" over a large doc corpus in different ways for use with LLM prompts.
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Is there a way I can have ChatGPT look at a document of mine?
https://github.com/jerryjliu/gpt_index might be close to what you need.
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AI is making it easier to create more noise, when all I want is good search
I would start with https://gpt-index.readthedocs.io/en/latest/ and https://langchain.readthedocs.io/en/latest/
- GitHub - jerryjliu/gpt_index: LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.
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Using OpenAI with self hosted knowledge database
People have been doing this with https://github.com/jerryjliu/gpt_index
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Long form content
Here is a link to the repository. Take a look at the overview section of the readme. https://github.com/jerryjliu/gpt_index
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LLaMA: A foundational, 65B-parameter large language model
(creator of gpt index / llamaindex here https://github.com/jerryjliu/gpt_index)
Funny that we had just rebranded our tool from GPT Index to LlamaIndex about a week ago to avoid potential trademark issues with OpenAI, and turns out Meta has similar ideas around LLM+llama puns :). Must mean the name is good though!
Also very excited to try plugging in the LLaMa model into LlamaIndex, will report the results.
What are some alternatives?
awk-raycaster - Pseudo-3D shooter written completely in gawk using raycasting technique
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
wttr.in - :partly_sunny: The right way to check the weather
llama - Inference code for Llama models
compiiile - The most convenient way to render a folder containing markdown files. Previewing and searching markdown files has never been that easy.
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
textual - The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
cosh - Concatenative command-line shell
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
Person_reID_baseline_pytorch - :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.