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@@ -12,7 +12,7 @@ cover: ai-chatbots.webp
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- [:material-account-cash: Surveillance Capitalism](basics/common-threats.md#surveillance-as-a-business-model){ .pg-brown }
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- [:material-close-outline: Censorship](basics/common-threats.md#avoiding-censorship){ .pg-blue-gray }
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Since the release of ChatGPT in 2022, interactions with Large Language Models (LLMs) have become increasingly common. LLMs can help us write better, understand unfamiliar subjects, or answer a wide range of questions. They can statistically predict the next word based on a vast amount of data scraped from the web.
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The use of **AI chat**, also known as Large Language Models (LLMs), has become increasingly common since the release of ChatGPT in 2022. LLMs can help us write better, understand unfamiliar subjects, or answer a wide range of questions. They work by statistically predicting the next word in their responses based on a vast amount of data scraped from the web.
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## Privacy Concerns About LLMs
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@@ -42,7 +42,7 @@ To run AI locally, you need both an AI model and an AI client.
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### Choosing a Model
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There are many permissively licensed models available to download. [Hugging Face](https://huggingface.co/models) is a platform that lets you browse, research, and download models in common formats like [GGUF](https://huggingface.co/docs/hub/en/gguf). Companies that provide good open-weights models include big names like Mistral, Meta, Microsoft, and Google. However, there are also many community models and 'fine-tunes' available. As mentioned above, quantized models offer the best balance between model quality and performance for those using consumer-grade hardware.
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There are many permissively licensed models available to download. [Hugging Face](https://huggingface.co/models) is a platform that lets you browse, research, and download models in common formats like [GGUF](https://huggingface.co/docs/hub/en/gguf). Companies that provide good open-weights models include big names like Mistral, Meta, Microsoft, and Google. However, there are also many community models and [fine-tuned](https://en.wikipedia.org/wiki/Fine-tuning_\(deep_learning\)) models available. As mentioned above, quantized models offer the best balance between model quality and performance for those using consumer-grade hardware.
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To help you choose a model that fits your needs, you can look at leaderboards and benchmarks. The most widely-used leaderboard is the community-driven [LM Arena](https://lmarena.ai). Additionally, the [OpenLLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) focuses on the performance of open-weights models on common benchmarks like [MMLU-Pro](https://arxiv.org/abs/2406.01574). There are also specialized benchmarks which measure factors like [emotional intelligence](https://eqbench.com), ["uncensored general intelligence"](https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard), and [many others](https://www.nebuly.com/blog/llm-leaderboards).
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@@ -63,7 +63,7 @@ To help you choose a model that fits your needs, you can look at leaderboards an
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{align=right}
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Kobold.cpp is an AI client that runs locally on your Windows, Mac, or Linux computer. It's an excellent choice if you are looking for heavy customization and tweaking, such as for role-playing purposes.
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**Kobold.cpp** is an AI client that runs locally on your Windows, Mac, or Linux computer. It's an excellent choice if you are looking for heavy customization and tweaking, such as for role-playing purposes.
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In addition to supporting a large range of text models, Kobold.cpp also supports image generators such as [Stable Diffusion](https://stability.ai/stable-image) and automatic speech recognition tools such as [Whisper](https://github.com/ggerganov/whisper.cpp).
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@@ -83,7 +83,7 @@ In addition to supporting a large range of text models, Kobold.cpp also supports
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</div>
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<div class="admonition note" markdown>
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<div class="admonition info" markdown>
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<p class="admonition-title">Compatibility Issues</p>
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Kobold.cpp might not run on computers without AVX/AVX2 support.
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@@ -98,7 +98,7 @@ Kobold.cpp allows you to modify parameters such as the AI model temperature and
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{align=right}
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Ollama is a command-line AI assistant that is available on macOS, Linux, and Windows. Ollama is a great choice if you're looking for an AI client that's easy-to-use, widely compatible, and fast due to its use of inference and other techniques. It also doesn't involve any manual setup.
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**Ollama** is a command-line AI assistant that is available on macOS, Linux, and Windows. Ollama is a great choice if you're looking for an AI client that's easy-to-use, widely compatible, and fast due to its use of inference and other techniques. It also doesn't involve any manual setup.
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In addition to supporting a wide range of text models, Ollama also supports [LLaVA](https://github.com/haotian-liu/LLaVA) models and has experimental support for Meta's [Llama vision capabilities](https://huggingface.co/blog/llama32#what-is-llama-32-vision).
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@@ -124,9 +124,9 @@ Ollama simplifies the process of setting up a local AI chat by downloading the A
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<div class="admonition recommendation" markdown>
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{align=right}
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{align=right}
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Llamafile is a lightweight single-file executable that allows users to run LLMs locally on their own computers without any setup involved. It is [backed by Mozilla](https://hacks.mozilla.org/2023/11/introducing-llamafile) and available on Linux, macOS, and Windows.
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**Llamafile** is a lightweight, single-file executable that allows users to run LLMs locally on their own computers without any setup involved. It is [backed by Mozilla](https://hacks.mozilla.org/2023/11/introducing-llamafile) and available on Linux, macOS, and Windows.
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Llamafile also supports LLaVA. However, it doesn't support speech recognition or image generation.
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@@ -138,7 +138,9 @@ Llamafile also supports LLaVA. However, it doesn't support speech recognition or
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<details class="downloads" markdown>
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<summary>Downloads</summary>
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- [:fontawesome-solid-desktop: Desktop](https://github.com/Mozilla-Ocho/llamafile#quickstart)
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- [:fontawesome-brands-windows: Windows](https://github.com/Mozilla-Ocho/llamafile#quickstart)
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- [:simple-apple: macOS](https://github.com/Mozilla-Ocho/llamafile#quickstart)
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- [:simple-linux: Linux](https://github.com/Mozilla-Ocho/llamafile#quickstart)
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</details>
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@@ -161,7 +163,7 @@ To check the authenticity and safety of the model, look for:
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- Community reviews and usage statistics
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- A "Safe" badge next to the model file (Hugging Face only)
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- Matching checksums[^1]
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- On Hugging Face, you can find the hash by clicking on a model file and looking for the **Copy SHA256** button below it. You should compare this checksum with the one from the model file you downloaded.
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- On Hugging Face, you can find the hash by clicking on a model file and looking for the **Copy SHA256** button below it. You should compare this checksum with the one from the model file you downloaded.
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A downloaded model is generally safe if it satisfies all the above checks.
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@@ -171,11 +173,11 @@ Please note we are not affiliated with any of the projects we recommend. In addi
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### Minimale vereisten
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- Must be open-source.
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- Moet open source zijn.
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- Must not transmit personal data, including chat data.
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- Must be multi-platform.
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- Must not require a GPU.
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- Must support GPU-powered fast inference.
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- Must support GPU-powered, fast inference.
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- Must not require an internet connection.
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### Beste geval
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@@ -186,4 +188,11 @@ Our best-case criteria represent what we _would_ like to see from the perfect pr
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- Should have a built-in model downloader option.
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- The user should be able to modify the LLM parameters, such as its system prompt or temperature.
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\*[LLaVA]: Large Language and Vision Assistant (multimodal AI model)
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\*[LLM]: Large Language Model (AI model such as ChatGPT)
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\*[LLMs]: Large Language Models (AI models such as ChatGPT)
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\*[open-weights models]: AI models that anyone can download and use, but the underlying training data and/or algorithms for them are proprietary.
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\*[system prompt]: The general instructions given by a human to guide how an AI chat should operate.
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\*[temperature]: A parameter used in AI models to control the level of randomness and creativity in the generated text.
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[^1]: A file checksum is a type of anti-tampering fingerprint. A developer usually provides a checksum in a text file that can be downloaded separately, or on the download page itself. Verifying that the checksum of the file you downloaded matches the one provided by the developer helps ensure that the file is genuine and wasn't tampered with in transit. You can use commands like `sha256sum` on Linux and macOS, or `certutil -hashfile file SHA256` on Windows to generate the downloaded file's checksum.
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@@ -19,7 +19,7 @@ Zelfs als je OpenPGP gebruikt, biedt het geen ondersteuning voor [forward secrec
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## What is the Web Key Directory standard?
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The Web Key Directory (WKD) standard allows email clients to discover the OpenPGP key for other mailboxes, even those hosted on a different provider. Email clients which support WKD will ask the recipient's server for a key based on the email address' domain name. For example, if you emailed `jonah@privacyguides.org`, your email client would ask `privacyguides.org` for Jonah's OpenPGP key, and if `privacyguides.org` has a key for that account, your message would be automatically encrypted.
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The [Web Key Directory (WKD)](https://wiki.gnupg.org/WKD) standard allows email clients to discover the OpenPGP key for other mailboxes, even those hosted on a different provider. Email clients which support WKD will ask the recipient's server for a key based on the email address' domain name. For example, if you emailed `jonah@privacyguides.org`, your email client would ask `privacyguides.org` for Jonah's OpenPGP key, and if `privacyguides.org` has a key for that account, your message would be automatically encrypted.
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In addition to the [email clients we recommend](../email-clients.md) which support WKD, some webmail providers also support WKD. Whether *your own* key is published to WKD for others to use depends on your domain configuration. If you use an [email provider](../email.md#openpgp-compatible-services) which supports WKD, such as Proton Mail or Mailbox.org, they can publish your OpenPGP key on their domain for you.
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@@ -34,7 +34,7 @@ In addition to (or instead of) an email provider recommended here, you may wish
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## OpenPGP compatibele diensten
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These providers natively support OpenPGP encryption/decryption and the [Web Key Directory standard](basics/email-security.md#what-is-the-web-key-directory-standard), allowing for provider-agnostic E2EE emails. Een Proton Mail-gebruiker zou bijvoorbeeld een E2EE-bericht kunnen sturen naar een Mailbox.org-gebruiker, of je zou OpenPGP-versleutelde meldingen kunnen ontvangen van internetdiensten die dit ondersteunen.
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These providers natively support OpenPGP encryption/decryption and the [Web Key Directory (WKD) standard](basics/email-security.md#what-is-the-web-key-directory-standard), allowing for provider-agnostic E2EE emails. Een Proton Mail-gebruiker zou bijvoorbeeld een E2EE-bericht kunnen sturen naar een Mailbox.org-gebruiker, of je zou OpenPGP-versleutelde meldingen kunnen ontvangen van internetdiensten die dit ondersteunen.
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<div class="grid cards" markdown>
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@@ -107,7 +107,7 @@ Bepaalde informatie opgeslagen in [Proton Contacts](https://proton.me/support/pr
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#### :material-check:{ .pg-green } Email encryptie
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Proton Mail heeft [OpenPGP encryptie](https://proton.me/support/how-to-use-pgp) geïntegreerd in hun webmail. E-mails naar andere Proton Mail-accounts worden automatisch versleuteld, en versleuteling naar niet-Proton Mail-adressen met een OpenPGP-sleutel kan eenvoudig worden ingeschakeld in je accountinstellingen. Proton also supports automatic external key discovery with [Web Key Directory (WKD)](https://wiki.gnupg.org/WKD). This means that emails sent to other providers which use WKD will be automatically encrypted with OpenPGP as well, without the need to manually exchange public PGP keys with your contacts. They also allow you to [encrypt messages to non-Proton Mail addresses without OpenPGP](https://proton.me/support/password-protected-emails), without the need for them to sign up for a Proton Mail account.
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Proton Mail heeft [OpenPGP encryptie](https://proton.me/support/how-to-use-pgp) geïntegreerd in hun webmail. E-mails naar andere Proton Mail-accounts worden automatisch versleuteld, en versleuteling naar niet-Proton Mail-adressen met een OpenPGP-sleutel kan eenvoudig worden ingeschakeld in je accountinstellingen. Proton also supports automatic external key discovery with WKD. This means that emails sent to other providers which use WKD will be automatically encrypted with OpenPGP as well, without the need to manually exchange public PGP keys with your contacts. They also allow you to [encrypt messages to non-Proton Mail addresses without OpenPGP](https://proton.me/support/password-protected-emails), without the need for them to sign up for a Proton Mail account.
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Proton Mail also publishes the public keys of Proton accounts via HTTP from their WKD. Hierdoor kunnen mensen die geen Proton Mail gebruiken de OpenPGP sleutels van Proton Mail accounts gemakkelijk vinden, voor cross-provider E2EE. This only applies to email addresses ending in one of Proton's own domains, like @proton.me. If you use a custom domain, you must [configure WKD](./basics/email-security.md#what-is-the-web-key-directory-standard) separately.
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@@ -164,7 +164,7 @@ However, [Open-Exchange](https://en.wikipedia.org/wiki/Open-Xchange), the softwa
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Mailbox.org has [integrated encryption](https://kb.mailbox.org/en/private/e-mail-article/send-encrypted-e-mails-with-guard) in their webmail, which simplifies sending messages to people with public OpenPGP keys. They also allow [remote recipients to decrypt an email](https://kb.mailbox.org/en/private/e-mail-article/my-recipient-does-not-use-pgp) on Mailbox.org's servers. Deze functie is nuttig wanneer de ontvanger op afstand geen OpenPGP heeft en geen kopie van de e-mail in zijn eigen mailbox kan ontsleutelen.
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Mailbox.org ondersteunt ook de ontdekking van publieke sleutels via HTTP vanuit hun [Web Key Directory (WKD)](https://wiki.gnupg.org/WKD). Hierdoor kunnen mensen buiten Mailbox.org gemakkelijk de OpenPGP sleutels van Mailbox.org accounts vinden, voor cross-provider E2EE. This only applies to email addresses ending in one of Mailbox.org's own domains, like @mailbox.org. If you use a custom domain, you must [configure WKD](./basics/email-security.md#what-is-the-web-key-directory-standard) separately.
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Mailbox.org also supports the discovery of public keys via HTTP from their WKD. Hierdoor kunnen mensen buiten Mailbox.org gemakkelijk de OpenPGP sleutels van Mailbox.org accounts vinden, voor cross-provider E2EE. This only applies to email addresses ending in one of Mailbox.org's own domains, like @mailbox.org. If you use a custom domain, you must [configure WKD](./basics/email-security.md#what-is-the-web-key-directory-standard) separately.
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#### :material-information-outline:{ .pg-blue } Beëindiging van account
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@@ -323,7 +323,7 @@ Wij beschouwen deze kenmerken als belangrijk om een veilige en optimale dienst t
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- Versleutelt alle accountgegevens (Contacten, Agenda's, etc) in rust met zero-access encryptie.
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- Geïntegreerde webmail E2EE/PGP-codering voor het gemak.
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- Ondersteuning voor [WKD](https://wiki.gnupg.org/WKD) om een verbeterde ontdekking van publieke OpenPGP sleutels via HTTP mogelijk te maken. GnuPG-gebruikers kunnen een sleutel krijgen door te typen: `gpg --locate-key example_user@example.com`
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- Support for WKD to allow improved discovery of public OpenPGP keys via HTTP. GnuPG-gebruikers kunnen een sleutel krijgen door te typen: `gpg --locate-key example_user@example.com`
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- Ondersteuning voor een tijdelijke mailbox voor externe gebruikers. Dit is handig wanneer je een versleutelde e-mail wilt verzenden, zonder een echte kopie naar jouw ontvanger te sturen. Deze e-mails hebben meestal een beperkte levensduur en worden daarna automatisch verwijderd. Zij vereisen ook niet dat de ontvanger cryptografie configureert zoals OpenPGP.
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- Beschikbaarheid van de diensten van de e-mailprovider via een [onion service](https://en.wikipedia.org/wiki/.onion).
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- [Sub-addressing](https://en.wikipedia.org/wiki/Email_address#Sub-addressing) support.
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@@ -356,7 +356,7 @@ We [recommend](dns.md#recommended-providers) a number of encrypted DNS servers b
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<div class="grid cards" markdown>
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- { .twemoji loading=lazy } [Kobold.cpp](ai-chat.md#koboldcpp)
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- { .twemoji loading=lazy } [Llamafile](ai-chat.md#llamafile)
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- { .twemoji loading=lazy } [Llamafile](ai-chat.md#llamafile)
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- { .twemoji loading=lazy } [Ollama (CLI)](ai-chat.md#ollama-cli)
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</div>
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