mapbox-unity-sdk
openai-cookbook
| mapbox-unity-sdk | openai-cookbook | |
|---|---|---|
| 5 | 216 | |
| 707 | 56,195 | |
| 0.4% | 1.5% | |
| 0.0 | 9.5 | |
| about 1 month ago | 5 days ago | |
| C# | MDX | |
| GNU General Public License v3.0 or later | MIT License |
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mapbox-unity-sdk
- Help needed - Unity and Google AR Core
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Running into an il2cpp exception when attempting to create a build for Android.
I would contact Mapbox directly about it, here is a similar issue: https://github.com/mapbox/mapbox-unity-sdk/issues/1407
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How can i convert decimal degree coordinates to unity space
Do you know what coordinate reference system your decimal degrees coordinates are based on? Have you looked at https://github.com/mapbox/mapbox-unity-sdk? It's a bit out of date, but the code for converting coordinate systems is still useful (I use it to convert from WGS84 to Unity coordinates).
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How to make a real world place into a game?
Mapbox created an SDK for Unity, but it's a bit old at this point, and hasn't been updated in some time, but there are a bunch of useful utilities in it: https://github.com/mapbox/mapbox-unity-sdk. My personal experience with using the services on the web that claim to be able to deliver heightmaps for a selected region was that their data sources were at far too low of a resolution. You may have better luck for your region. I ended up going to several federal and state sites to source raw DEM files which I combined and processed with QGIS to give me an accurate and fairly detailed (0.5m resolution) map of both the land and seabed in my area. It's to the point that I can see the roads in the heightmap.
- Mapbox AR throws lots of errors
openai-cookbook
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Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
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Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
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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.
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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
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
zeal - Offline documentation browser inspired by Dash
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
docsify - 🃏 A magical documentation site generator.
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
devdocs - API Documentation Browser
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
askai - Command Line Interface for OpenAi ChatGPT
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]
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
knowledge_gpt - Accurate answers and instant citations for your documents.
yt-semantic-search - OpenAI-powered semantic search for any YouTube playlist – featuring the All-In Podcast. 💪
OpenCharacters - Simple little web interface for creating characters and chatting with them. It's basically a single HTML file - no server. Share characters using a link (character data is stored within the URL itself). All chat data is stored in your browser using IndexedDB. Currently supports OpenAI APIs and ~any Hugging Face model.