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RCD Wealth LLC

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https://www.rcdwealth.com
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AI & ML interests

RCD Wealth's strategic interest in Large Language Models (LLMs) is driven by a commitment to developing comprehensive educational courses that specialize in the intricate fields of coffee trade and production, as well as gold mining and prospecting. By leveraging the advanced capabilities of LLMs, RCD Wealth aims to enhance the RCD Notes & Hyperscope for GNU Emacs, transforming it into The Dynamic Knowledge Repository—a robust tool tailored for sales and marketing applications.

RCDWealth's activity

JLouisBiz 
posted an update 2 days ago
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764
https://www.youtube.com/watch?v=AN-iZblyZNE

Discover how to harness the power of NOMIC Embed Vision v1.5 to find similar images within GNU Emacs Dired mode. With this innovative embeddings model, you can search for images based on semantic similarities using simple keywords. This is possible because the text model of NOMIC shares the same vector space as the Embed Vision model.

In this video, we'll show you how to run the script on your computer and explore the capabilities of this groundbreaking model. You'll learn how to find similar pictures and enjoy the convenience of searching for images using just a few words.

Don't miss out on this exciting opportunity to enhance your image searching experience with NOMIC Embed Vision v1.5 in Emacs Lisp.

Script to run model:
https://gitea.com/gnusupport/LLM-Helpers/src/branch/main/bin/nomic-embed-vision-v1.5-api.py

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JLouisBiz 
posted an update 4 days ago
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2042
Back to LLM integration.

ClickDefine.sh -- quickly define or explain anything within your whole desktop environment

You only need to run the model locally, maybe with the **llama.cpp** or **ollama**

- https://github.com/ggml-org/llama.cpp
- https://ollama.com/download

And you get universal explaining tool that works anywhere on your X Org Desktop (on operating systems which are usually Fully Free Software like Debian GNU/Linux)

ClickDefine - Interactive Text Processor Script for Iterative LLM Query Handling:
https://hyperscope.link/9/6/0/9/8/ClickDefine-Interactive-Text-Processor-Script-for-Iterative-LLM-Query-Handling-96098.html

Watch the demonstration here: https://www.youtube.com/watch?v=mQxCYAiReu0&t=2s
JLouisBiz 
posted an update 7 days ago
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1431
This is short demonstration of large language model integration into a user's workflow. This is helping to quickly save or capture whatever you have copied to your clipboard. It goes into the database. In your case, it could go to the file. It could be published quickly. You could make a one-click page or one-click document. Eventually, it becomes immediately a note for later use.

https://discord.gg/N2BRPZ2jKb

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JLouisBiz 
posted an update 9 days ago
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527
If you are using llama.CPP then From time to time you may have a need to quickly review your HTML output. And there is no automatic way to do it in its native web UI. This small shell script can help you integrate with your copy function. Just press on copy and invoke the shell script. You can make a small icon to invoke the shell script or bind it to the key or mouse button.

Shell script is here:

https://gitea.com/gnusupport/LLM-Helpers/src/branch/main/bin/clipboard-to-firefox.sh

And video demonstration is here: https://www.youtube.com/watch?v=WCu3TazXpgg

Join my Discord for LLM integration: https://discord.gg/N2BRPZ2jKb
JLouisBiz 
posted an update 11 days ago
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Article: https://huggingface.co/blog/JLouisBiz/semantical-website-links

You don't need to do the tedious work of finding all those links on your huge website.

Automating semantic links on websites using Large Language Models (LLMs) enhances user experience and efficiency. Here's a simplified workflow:

1. Store LLM embeddings in PostgreSQL: Use the vector data type to store text embeddings generated by an LLM.
2. Divide page texts into chunks for processing.
3. Generate embeddings using an LLM for each chunk of text.
4. Create template markup around specific terms needing links.

An automated program then:

- Converts marked-up terms to their corresponding LLMs' embeddings,
- Compares these with stored database embeddings (using cosine similarity),
- Identifies the most relevant page based on highest similarity score, and
- Automatically adds a link from the original content to this contextually related information.

This process improves navigation by directing users to highly contextual pages. It saves time as it automates creating semantic links while maintaining accuracy.
JLouisBiz 
posted an update 12 days ago
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3248
**Video**: https://www.youtube.com/watch?v=jRKRsGsLfW0

**Integrating large language model with file manager to describe your illegally downloaded movies.**

When you have a bunch of movies downloaded by Torrent, you maybe want a description and description is missing. This video shows how you can use the script to invoke the large language model. And then you get a description of a movie in a second or three.
JLouisBiz 
posted an update 13 days ago
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1383
https://www.youtube.com/watch?v=84iS3atFQdI

**Speech typing in Emacs** by using NVIDIA Canary 1B model in multiple languages

This video showcases a demonstration of speech-to-text capabilities within the popular text editor, Emacs, utilizing the advanced NVIDIA Canary 1 Billion parameter (1B) language model. The presentation highlights how users can effectively type and edit documents across various programming or markup languages using spoken commands.

The demo likely illustrates seamless integration between cutting-edge AI technology from NVIDIA's Canary series—known for its powerful natural language processing capabilities—and Emacs, a highly customizable text editor favored by developers worldwide. By leveraging the 1B model, which is capable of understanding context and nuances in multiple human languages, users can dictate their code or prose directly into Emacs with impressive accuracy.

The video probably covers how this setup supports several different programming languages as well as natural language typing tasks, showcasing its versatility across various domains such as software development and content creation. Additionally, the demonstration may include examples of real-time transcription performance in diverse linguistic contexts to emphasize the model's multilingual proficiency.

Overall, viewers can expect insights into enhancing productivity by integrating AI-driven speech recognition directly within their text editing workflow using Emacs paired with NVIDIA’s advanced language models.
JLouisBiz 
posted an update 23 days ago
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1460
https://www.youtube.com/watch?v=AT0nJybzQ0w

This is demonstration how it can be done in shell that you make your audible assistant. You can speak and you can get answers. It's very interesting. And you can also bind it to the mouse button. When you bind it to the mouse button you forget anything. All what you need to do is click the mouse button on the left side of the mouse. Not the left or right button. I mean those other buttons which mouses have. For me it's button number 8 and button number 9.

https://www.youtube.com/watch?v=AT0nJybzQ0w

In my opinion, everybody should upgrade his computer to have speech recognition, automatic typing of the transcript, and also a very interactive possibility to request information from your digital assistant.

I am using xbindkeys program to bind LLM software to mouse buttons:

;; specify a mouse button
(xbindkey '("b:8") "rcd-llm-speech-single-input.sh")
(xbindkey '(alt "b:8") "rcd-llm-audible-assistant-single.sh")

(xbindkey '("b:9") "rcd-llm-correct-marked-text.sh")
JLouisBiz 
posted an update 25 days ago
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1533
https://www.youtube.com/watch?v=Jn7zMmPClIc

# Automating Tasks with Emacs: Speech-to-Command Magic Explained

Welcome to our latest tutorial where we explore the powerful capabilities of Emacs, a renowned text editor, as we dive into automating tasks using speech-to-command functionality. This guide will walk you through setting up and using Emacs Lisp functions to transcribe speech into actionable commands, seamlessly integrating with your database to execute tasks.

# What You'll Learn:

- How to set up speech recognition in Emacs.
- Transcribing speech into commands using Emacs Lisp.
- Executing commands from a database with real-time feedback.
- Enhancing productivity by automating repetitive tasks with your voice.

## Step-by-Step Guide:

Introduction to Emacs Lisp: Understand the basics of Emacs Lisp and how it can be used for automation.

Setting Up Speech Recognition: Learn how to configure Emacs to recognize and transcribe your speech.

Transcribing Speech to Commands: Discover how to convert spoken words into executable Emacs commands.

Database Integration: See how commands are matched with database entries to perform specific tasks.

Real-Time Feedback: Experience how Emacs provides real-time feedback by speaking the results of executed commands.

## Why Use Emacs for Automation?

Emacs is not just a text editor; it's a versatile tool that can be customized to fit your workflow. By leveraging its scripting capabilities with Emacs Lisp, you can create a personalized automation environment that responds to your voice, making your work more efficient and intuitive.

## Conclusion:

By the end of this video, you'll have a functional setup that allows you to control Emacs with your voice, opening up new possibilities for productivity. Whether you're a seasoned Emacs user or new to the platform, this tutorial will provide valuable insights into the power of automation.
JLouisBiz 
posted an update 26 days ago
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1650
In this exciting demonstration, we explore how you can enhance your productivity with cutting-edge features right at your fingertips. Experience seamless speech recognition and automatic text correction on GNU/Linux systems using just a couple of mouse clicks!

https://www.youtube.com/watch?v=51jEUtjrARo

What You'll Discover:

Speech Recognition: Activate by pressing *Mouse Button 9*. Say goodbye to typing fatigue as our system effortlessly converts spoken words into digital text.

Automatic LLM Text Correction: Press Mouse Button 8 for instant, intelligent corrections. Our advanced language model ensures your writing is polished and precise.

Why You Should Watch:

✅ Boost Your Efficiency
🔍 Simplify Complex Tasks
💡 Enhance Writing Quality

Whether you're a developer looking to streamline coding or someone who spends hours typing reports, this demonstration will show how these features can transform the way you work.

Don't miss out on discovering an innovative approach that integrates speech recognition and text correction into your daily routine with ease!

💬 Drop a comment below if you have questions or want to share how these features could benefit your workflow.
JLouisBiz 
posted an update 27 days ago
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1596
I would like to recommend that everyone consider paying $9 for access through Hugging Face; their services provide so many benefits, it's worth both our attention and gratitude.

Click and go:
https://huggingface.co/subscribe/pro
JLouisBiz 
updated a model 3 months ago
JLouisBiz 
published a model 3 months ago
JLouisBiz 
updated a Space 4 months ago