gpt_index
Quake-III-Arena
| gpt_index | Quake-III-Arena | |
|---|---|---|
| 48 | 37 | |
| 7,332 | 6,818 | |
| - | 1.8% | |
| 9.8 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | C | |
| MIT License | GNU General Public License v3.0 only |
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.
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.
Quake-III-Arena
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When online gaming, how is the information synced across devices?
Quake III Arena
- [Bunnyhopping] Code de mouvement du moteur du tremblement de terre et source
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Get in nerd, we're going fragging (1999)
If you know C, you can check this out by comparing the different player movement code of Quake 3 and Quake 1.
- Free as in freedom
- about that copypasta about the super intelligent Bots
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LLaMA: A foundational, 65B-parameter large language model
You mean this code?
https://archive.softwareheritage.org/browse/content/sha1_git...
Do you see that notice at the top of the file? It says:
==
This file is part of Quake III Arena source code.
Quake III Arena source code is free software; you can redistribute it
- Fast midpoint between two integers without overflow
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Hello! I'm trying to run Quake 3 on Steam Deck and certain maps won't load for skirmishes. I receive this error instead. This happens with both recommended Proton versions from ProtonDB (5.13-6 and 3.16-9). Any help would be greatly appreciated. Thanks!
The error messages comes from this file in the source code. It looks like the client is trying to parse entities from the server but the readcount is greater than the cursize in the messages. I am not an expert but I believe there could be a mismatch between the versions of your client and the servers you are trying to connect to.
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Everything I wish I knew when learning C
After learning C, one of the first projects I came into contact with, was the ID Tech 3 game engine [1]
On the one hand, it taught me how professional C programmers structure their code (extra functions to remove platform differences, specific code which is being shared between server and client to allow smooth predictions) and how incredible fast computers can be (thousands of operations within milliseconds), but it also showed me, how the same code can result in different executions due to compiler differences (tests pass, production crashes) and how important good debugging tools are (e.g. backtraces).
To this day I am very grateful for the experience and that ID decided to release the code as open source.
[1] https://github.com/id-Software/Quake-III-Arena
- Software to match source code to disassembled binary?
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
ioq3 - The ioquake3 community effort to continue supporting/developing id's Quake III Arena
llama - Inference code for Llama models
Quake-2 - Quake 2 GPL Source Release
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
Jedi-Academy - Star Wars Jedi Knight: Jedi Academy
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
halflife - Half-Life 1 engine based games
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
language-ext - C# functional language extensions - a base class library for functional programming
finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.
UnrealEngine