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        <dc:date>2024-04-24T08:23:42+00:00</dc:date>
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        <title>AI Desktop Client</title>
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        <description>AI Desktop Client


apt-get install flatpak
flatpak install --user https://flathub.org/apps/details/io.github.Bavarder.Bavarder.flatpakref
/usr/bin/flatpak run --branch=stable --arch=x86_64 --command=bavarder io.github.Bavarder.Bavarder</description>
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        <dc:date>2024-08-01T12:47:27+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Base AI System install</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:base-system&amp;rev=1722516447&amp;do=diff</link>
        <description>Base AI System install

:!: notes only


https://www.simplified.guide/ubuntu/remove-snapd
sudo systemctl stop snapd
sudo apt remove --purge --assume-yes snapd gnome-software-plugin-snap
rm -rf ~/snap/
rm -rf /var/cache/snapd/ 
apt remove squashfs-tools
cat &lt;&lt; EOD &gt;&gt; /etc/apt/preferences.d/nosnap.pref
Package: snapd
Pin: release a=*
Pin-Priority: -10
EOD
sudo apt update


Ubuntu Server 22.04 LTS install with third party drivers
--------------------------------------------------------

Note: CUDA …</description>
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        <dc:date>2024-07-23T18:56:31+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>AI Info</title>
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        <description>AI Info

General info

Large language models vs small language models:
&lt;https://venturebeat.com/ai/why-small-language-models-are-the-next-big-thing-in-ai/&gt;

&lt;https://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer&gt;
&lt;https://www.databricks.com/glossary/machine-learning-models&gt;
&lt;https://www.finextra.com/blogposting/20028/how-is-ai-revolutionizing-fx-market-in-a-way-we-didnt-even-realize&gt;

Transformer Model file types:
GGUF: binary model format optimised for quick loa…</description>
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        <dc:date>2024-08-02T16:31:24+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>nl2sql</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:nl2sql&amp;rev=1722616284&amp;do=diff</link>
        <description>nl2sql

notes:

&lt;https://github.com/zylon-ai/private-gpt/pull/1399/files&gt;
&lt;https://docs.llamaindex.ai/en/stable/examples/index_structs/struct_indices/SQLIndexDemo/&gt;
&lt;https://medium.com/@reddyyashu20/nl2sql-with-llamaindex-querying-databases-using-natural-language-cdd4390cbcd8&gt;
&lt;https://arxiv.org/html/2401.02997v1&gt;</description>
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        <dc:date>2024-08-08T16:31:47+00:00</dc:date>
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        <title>Ollama Open-Webui</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:ollama-openwebui&amp;rev=1723134707&amp;do=diff</link>
        <description>Ollama Open-Webui

Note: You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.

Notes only for now:

&lt;https://github.com/open-webui/open-webui&gt;
&lt;https://docs.openwebui.com/getting-started/env-configuration/#general&gt;

Nvidia GPU, linux:


mkdir /opt/ollama
mkdir /opt/open-webui
mkdir /opt/openedai-speech/tts-voices
mkdir /opt/openedai-speech/tts-config
mkdir /opt/pipelines
mkdir /opt/docker-ssl-proxy
mkdir /opt/faster-wh…</description>
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        <dc:date>2024-08-02T14:57:44+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>OpenDevin</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:opendevin&amp;rev=1722610664&amp;do=diff</link>
        <description>OpenDevin

OpenDevin is a platform for autonomous software engineers, powered by AI and LLMs. OpenDevin agents collaborate with human developers to write code, fix bugs, and ship features.

&lt;https://github.com/OpenDevin/OpenDevin&gt;
&lt;https://docs.all-hands.dev/modules/usage/intro&gt;
&lt;https://docs.all-hands.dev/modules/usage/llms/localLLMs&gt;



Docker compose file for local setup with separate ollama docker instance. In the current OpenDevin version (0.7), the ollama model needs to be specifically ent…</description>
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        <dc:date>2024-05-01T16:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>PrivateGPT</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:private-gpt&amp;rev=1714581183&amp;do=diff</link>
        <description>PrivateGPT

Querying own files with GPT locally using any GPT model (Retrieval-augmented generation (RAG))
Supports text formats only (pdf, doc, txt, etc), limited support for tables, but not csv data or large tables. 

&lt;https://github.com/zylon-ai/private-gpt&gt;

CPU only docker

Docker version available.</description>
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        <dc:date>2024-05-02T12:25:34+00:00</dc:date>
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        <title>Python nl2sql</title>
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        <description>Python nl2sql

Using a custom OpenAI API compatible LLM to convert natural language to sql in python (other sql engines similar):


openai~=1.24.0
SQLAlchemy~=2.0.29
mysql-connector-python~=8.3.0
llama-index-core~=0.10.33
llama-index-embeddings-openai~=0.1.9
llama-index-llms-openai~=0.1.16
llamaindex-py-client~=0.1.19</description>
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        <dc:date>2024-07-11T16:51:23+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>RagFlow</title>
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        <description>RagFlow

notes:

add to /etc/sysctl.conf:


vm.max_map_count=262144
sudo sysctl -w vm.max_map_count=262144



git clone https://github.com/infiniflow/ragflow.git

cd ragflow/docker
chmod +x ./entrypoint.sh


adjust docker-compose.yml, add


    deploy:
      resources:
        reservations:
          devices:
          - driver: nvidia
            device_ids: [&#039;0&#039;]
            capabilities: [gpu]</description>
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        <dc:date>2025-08-21T13:19:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Speech to Text</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:speech-to-text&amp;rev=1755782359&amp;do=diff</link>
        <description>Speech to Text

OpenAI Whisper
&lt;https://github.com/openai/whisper&gt;

&lt;https://hub.docker.com/r/fedirz/faster-whisper-server&gt;

&lt;https://github.com/speaches-ai/speaches&gt;

OpenAI/Whisper example python script with changed base url


mkdir transcribe
cd transcribe
python -m venv venv
source venv/bin/activate
pip install openai

cat &gt;&gt; trans.py &lt;&lt; EOD
#!/home/user/transcribe/venv/bin/python3
from openai import OpenAI
import sys,os

def usage():
    print(&quot;Usage: &quot;+os.path.basename(__file__)+&quot; inputfil…</description>
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        <dc:date>2024-07-11T12:00:41+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Stable Diffusion</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:stable-diffusion&amp;rev=1720699241&amp;do=diff</link>
        <description>Stable Diffusion

Stable Diffusion is an AI model for text to image generation. There are various GUIs available to tweak settings, add specific styles like Disney or photorealistic (Lora models) and help adjusting existing images via picture to picture or selection infill.</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2024-04-22T23:35:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>AI</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:start&amp;rev=1713828932&amp;do=diff</link>
        <description>AI

This section contains information about AI, Machine Learning and related topics</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2024-08-02T16:31:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>AI Summarization</title>
        <link>http://wuff.dyndns.org/doku.php?id=ai:summarization&amp;rev=1722616310&amp;do=diff</link>
        <description>AI Summarization

&lt;https://github.com/matkoson/ai-summarization&gt;</description>
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