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@ -233,8 +233,9 @@ When using cloud-based AI services, the data you input is often collected and st
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#### ChatGPT
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- [llama.cpp](https://github.com/ggerganov/llama.cpp) - Inference of Facebook's LLaMA model in pure C/C++ so it can run locally on a CPU.
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- [ollama](https://github.com/jmorganca/ollama) - Get up and running with Llama 2 and other large language models locally.
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- [LMStudio](https://lmstudio.ai/) - Run LLMs on your laptop, entirely offline with a beautiful UI.
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- [LocalAI](https://github.com/go-skynet/LocalAI) - Self-hosted, community-driven simple local OpenAI-compatible API written in go. Can be used as a drop-in replacement for OpenAI, running on CPU with consumer-grade hardware.
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- [ollama](https://github.com/jmorganca/ollama) - Get up and running with Llama 2 and other large language models locally.
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#### Copilot
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@ -344,6 +345,7 @@ Opt for open-source and P2P alternatives that prioritize data privacy, eliminate
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## Developer Tools
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- [Beekeeper Studio](https://www.beekeeperstudio.io) - Open Source SQL Editor and Database Manager with a privacy commitment in their mission statement.
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- [PACE](https://github.com/getstrm/pace) - An open source framework that allows you to enforce agreements on how data should be accessed, used, and transformed, regardless of the data platform (Snowflake, BigQuery, DataBricks, etc.)
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### IDEs
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<img width="16" src="misc/forbidden.png"> </img> Avoid using privative IDEs that are full of trackers and telemetry.
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