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docs(kb): add ai related articles
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Michele Cereda
@@ -18,7 +18,7 @@ TODO
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## Further readings
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- [Useful AI]: tools, courses, and more, curated and reviewed by experts.
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- [ChatGPT], [Claude], [Copilot], [Duck AI], [Gemini]
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- LLMs: [ChatGPT], [Claude], [Copilot], [Duck AI], [Gemini]
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### Sources
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67
knowledge base/ai/huggingface.md
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67
knowledge base/ai/huggingface.md
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# Hugging Face
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AI community trying to democratize _good_ machine learning.
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1. [TL;DR](#tldr)
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1. [Further readings](#further-readings)
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1. [Sources](#sources)
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## TL;DR
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<!-- Uncomment if used
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<details>
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<summary>Setup</summary>
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```sh
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```
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</details>
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-->
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<!-- Uncomment if used
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<details>
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<summary>Usage</summary>
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```sh
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```
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</details>
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-->
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<!-- Uncomment if used
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<details>
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<summary>Real world use cases</summary>
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```sh
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```
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</details>
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-->
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## Further readings
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- [Website]
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- [Codebase]
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- [Blog]
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- [Learning material]
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### Sources
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- [Documentation]
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<!--
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Reference
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═╬═Time══
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-->
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<!-- In-article sections -->
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<!-- Knowledge base -->
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<!-- Files -->
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<!-- Upstream -->
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[Blog]: https://huggingface.co/blog
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[Codebase]: https://github.com/huggingface
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[Documentation]: https://huggingface.co/docs
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[Learning material]: https://huggingface.co/learn
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[Website]: https://huggingface.co/
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<!-- Others -->
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67
knowledge base/ai/lmstudio.md
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67
knowledge base/ai/lmstudio.md
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# LMStudio
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Allows running LLMs locally.
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<!-- Remove this line to uncomment if used
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## Table of contents <!-- omit in toc -->
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1. [TL;DR](#tldr)
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1. [Further readings](#further-readings)
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1. [Sources](#sources)
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## TL;DR
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<details>
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<summary>Setup</summary>
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```sh
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brew install --cask 'lm-studio'
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```
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</details>
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<!-- Uncomment if used
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<details>
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<summary>Usage</summary>
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```sh
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```
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</details>
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-->
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<!-- Uncomment if used
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<details>
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<summary>Real world use cases</summary>
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```sh
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```
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</details>
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-->
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## Further readings
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- [Website]
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- [Codebase]
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- [Blog]
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### Sources
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- [Documentation]
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<!--
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Reference
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═╬═Time══
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-->
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<!-- In-article sections -->
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<!-- Knowledge base -->
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<!-- Files -->
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<!-- Upstream -->
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[Blog]: https://lmstudio.ai/blog
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[Codebase]: https://github.com/lmstudio-ai
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[Documentation]: https://lmstudio.ai/docs/
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[Website]: https://lmstudio.ai/
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<!-- Others -->
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90
knowledge base/ai/ollama.md
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90
knowledge base/ai/ollama.md
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# Ollama
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The easiest way to get up and running with large language models.
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<!-- Remove this line to uncomment if used
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## Table of contents <!-- omit in toc -->
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1. [TL;DR](#tldr)
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1. [Further readings](#further-readings)
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1. [Sources](#sources)
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## TL;DR
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<details>
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<summary>Setup</summary>
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```sh
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brew install --cask 'ollama-app' # or just brew install 'ollama'
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```
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</details>
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Cloud models are automatically offloaded to Ollama's cloud service.<br/>
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This allows to keep using one's local tools while running larger models that wouldn't fit on a personal computer.<br/>
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Those models are _usually_ tagged with the `cloud` suffix.
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<details>
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<summary>Usage</summary>
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```sh
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# Download models.
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ollama pull 'qwen2.5-coder:7b'
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ollama pull 'glm-4.7:cloud'
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# List pulled models.
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ollama list
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# Run models.
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ollama run 'gemma3'
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# Quickly set up a coding tool with Ollama models.
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ollama launch
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# Launch models.
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ollama launch 'claude' --model 'glm-4.7-flash'
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# Only configure model, without launching them.
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ollama launch 'claude' --config
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# Sign into Ollama cloud, or create a new account.
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ollama signin
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```
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</details>
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<!-- Uncomment if used
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<details>
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<summary>Real world use cases</summary>
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```sh
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```
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</details>
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-->
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## Further readings
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- [Website]
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- [Codebase]
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- [Blog]
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### Sources
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- [Documentation]
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<!--
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Reference
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═╬═Time══
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-->
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<!-- In-article sections -->
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<!-- Knowledge base -->
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<!-- Files -->
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<!-- Upstream -->
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[Blog]: https://ollama.com/blog
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[Codebase]: https://github.com/ollama/ollama
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[Documentation]: https://docs.ollama.com/
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[Website]: https://ollama.com/
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<!-- Others -->
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73
knowledge base/ai/openhands.md
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73
knowledge base/ai/openhands.md
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# OpenHands
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Community focused on AI-driven development.
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1. [TL;DR](#tldr)
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1. [Further readings](#further-readings)
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1. [Sources](#sources)
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## TL;DR
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<details>
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<summary>Setup</summary>
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```sh
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docker pull 'docker.openhands.dev/openhands/runtime:1.2-nikolaik'
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docker run -it --rm --name 'openhands-app' --pull='always' \
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-e 'AGENT_SERVER_IMAGE_REPOSITORY=docker.openhands.dev/openhands/runtime' \
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-e 'AGENT_SERVER_IMAGE_TAG=1.2-nikolaik' \
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-e 'LOG_ALL_EVENTS=true' \
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-v '/var/run/docker.sock:/var/run/docker.sock' \
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-v "$HOME/.openhands:/.openhands" \
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-p '3000:3000' \
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--add-host 'host.docker.internal:host-gateway' \
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'docker.openhands.dev/openhands/openhands:1.2'
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```
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</details>
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<!-- Uncomment if used
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<details>
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<summary>Usage</summary>
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```sh
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```
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</details>
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-->
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<!-- Uncomment if used
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<details>
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<summary>Real world use cases</summary>
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```sh
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```
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</details>
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-->
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## Further readings
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- [Website]
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- [Codebase]
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- [Blog]
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### Sources
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- [Documentation]
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<!--
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Reference
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═╬═Time══
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-->
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<!-- In-article sections -->
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<!-- Knowledge base -->
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<!-- Files -->
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<!-- Upstream -->
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[Blog]: https://openhands.dev/blog
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[Codebase]: https://github.com/OpenHands/OpenHands
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[Documentation]: https://docs.openhands.dev/
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[Website]: https://openhands.dev/
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<!-- Others -->
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@@ -0,0 +1,56 @@
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# Use a local LLM for coding assistance in VSCode
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1. [Setup](#setup)
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1. [Further readings](#further-readings)
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1. [Sources](#sources)
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## Setup
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1. Install Ollama and download the models you mean to use.<br/>
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Refer [Ollama].
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<details style='padding: 0 0 1rem 1rem'>
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```sh
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brew install 'ollama'
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ollama pull 'llama3.1:8b'
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ollama pull 'qwen2.5-coder:7b'
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ollama pull 'nomic-embed-text:latest'
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```
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</details>
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1. Install the [Continue VSCode extension].
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1. Configure the extension to use local LLMs only.
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<details style='padding: 0 0 1rem 1rem'>
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1. Open the extension's sidebar.
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1. In the top-right, select Local Config from the dropdown menu.
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1. Eventually, tweak the configuration file.
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</details>
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## Further readings
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- [Ollama]
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- [Continue VSCode extension]
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### Sources
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- [How to use a local LLM as a free coding copilot in VS Code]
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<!--
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Reference
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═╬═Time══
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-->
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<!-- In-article sections -->
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<!-- Knowledge base -->
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[Ollama]: ollama.md
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<!-- Files -->
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<!-- Upstream -->
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<!-- Others -->
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[Continue VSCode extension]: https://marketplace.visualstudio.com/items?itemName=Continue.continue
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[How to use a local LLM as a free coding copilot in VS Code]: https://medium.com/@smfraser/how-to-use-a-local-llm-as-a-free-coding-copilot-in-vs-code-6dffc053369d
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@@ -90,6 +90,7 @@
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| LAN | Local Area Network | |
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| LED | Light Emitting Diode | |
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| LIFO | Last In First Out | |
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| LLM | Large Language Model | |
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| M2COTS | Mass Market COTS | Widely available COTS products |
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| MR | Merge Request | Prevalently used in GitLab |
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| NACL | Network ACL | |
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