AI for the masses

Understanding Language Models: A Non-Technical Guide to Large Language Models (LLMs)

In the world of artificial intelligence (AI), one term you might have come across is “Large Language Models” or LLMs. But what exactly are these models, and why are they important? This blog post aims to demystify LLMs in a non-technical way.

What are Large Language Models?

Imagine having a conversation with a computer, and it understands and responds to you just like a human would. This is the kind of interaction that Large Language Models make possible. In simple terms, LLMs are computer programs trained to understand and generate human-like text. They are a type of artificial intelligence that can read, write, and even converse in natural language.

How do Large Language Models Work?

LLMs learn from vast amounts of text data. For instance, they might be trained on millions of books, articles, and websites. By analyzing this data, they learn the patterns and structures of the language, such as grammar and common phrases.

When you ask an LLM a question or give it a prompt, it doesn’t search the internet for an answer. Instead, it generates a response based on the patterns it has learned from its training data. It’s like having a conversation with a very well-read friend who has an answer or a story for almost everything!

Why are Large Language Models Important?

LLMs are transforming the way we interact with technology. They power virtual assistants, chatbots, and customer service systems, making these systems more conversational and user-friendly. They can also help with tasks like drafting emails, writing articles, or even creating poetry!

Moreover, LLMs can be a powerful tool for education. They can provide explanations on a wide range of topics, making learning more accessible and engaging.


Large Language Models are an exciting development in the field of artificial intelligence. They are making our interactions with technology more natural and conversational. While the technology behind LLMs might be complex, the concept isn’t: they are computer programs that have learned to understand and generate human-like text. As LLMs continue to improve, we can look forward to even more innovative and helpful applications.

AI for the masses

Copilot for CLI: Your Personal Shell Wizard


Have you ever found yourself struggling to remember a specific shell command or an obscure flag? Or perhaps you’ve wished you could just tell the shell what you want it to do in plain English? If so, you’re in luck. GitHub is currently developing a tool that aims to bring the power of GitHub Copilot right into your terminal: Copilot for CLI.

What is Copilot for CLI?

Copilot for CLI is a tool designed to translate natural language into terminal commands. It’s like having a shell wizard by your side, ready to assist you with comprehensive knowledge of flags and the entire AWK language. When you need something more complicated than a simple `cd myrepo`, you can turn to this guru and just ask – in regular, human language – what you want to get done.

Three Modes of Interaction

Copilot for CLI provides three shell commands: `??`, `git?`, and `gh?`.

– `??` is a general-purpose command for arbitrary shell commands. It can compose commands and loops, and even throw around obscure find flags to satisfy your query. For example, you could use `?? list js files` or `?? make get request with curl`.

– `git?` is used specifically for git invocations. Compared to `??`, it is more powerful at generating Git commands, and your queries can be more succinct when you don’t need to explain that you’re in the context of Git. For instance, you could use `git? list all commits` or `git? delete a local branch`.

– `gh?` combines the power of the GitHub CLI command and query interface with the convenience of having AI generate the complicated flags and jq expressions for you. You could use `gh? all closed PRs` or `gh? create a private repo`.

How to Get Copilot for CLI?

Currently, Copilot for CLI is in the usable prototype stage. GitHub is allowing users to try out this tool as a prototype. To get it, you can sign up for the waitlist, and GitHub will notify you when you’re admitted. Note that you will also need GitHub Copilot access to use it.


The terminal is a powerful tool, but it can take many years of regular use to become a shell wizard. With Copilot for CLI, you can have a shell wizard by your side, ready to assist you with any command or flag you might need. So why not sign up for the waitlist and give it a try?

[GitHub Next Project page]

You can check this video from IanWootten


AI for the masses

Vicuna: The Premier Open-Source AI Model for Local Computer Installations

Artificial Intelligence (AI) has been making waves across various sectors, enhancing workflows and enabling smarter decision-making. One of the most notable advancements in this field is the emergence of Vicuna, a groundbreaking open-source AI model that has become the top choice for local computer installations. This blog post will provide an in-depth look into Vicuna, its features, benefits, and applications, and what makes it stand out from other AI models.

Vicuna: The Apex of Open-Source AI Models

Vicuna is an exceptional open-source AI model for local computer installations, developed by a team of skilled researchers and engineers. The model is designed with a focus on versatility, performance, and user-friendliness, making it an ideal solution for both businesses and individuals.

Flexibility and Adaptability

Vicuna’s flexibility sets it apart from other AI models. Its modular architecture allows users to easily customize and adapt it to their specific needs, making it suitable for a wide range of applications, from natural language processing to computer vision and beyond.
User-Friendly Installation and Use

Unmatched Performance

Vicuna stands out for its superior performance, surpassing its competitors in various benchmark tests. This high-performance AI model has been meticulously designed to deliver accurate and reliable results, ensuring the success of your projects.

Vicuna prioritizes user-friendliness.

Its installation process is simple and straightforward, allowing users to quickly set it up and get started. Moreover, its intuitive interface and comprehensive documentation make it easy for users to navigate and fully utilize the AI model.

A Dynamic Community of Users and Developers

Vicuna is supported by a vibrant community of users and developers who are dedicated to continuously improving and expanding the model’s capabilities. This ensures that Vicuna stays at the cutting edge of AI innovation, benefiting from the collective knowledge and expertise of its community.

Getting Started with Vicuna

To start leveraging the power of Vicuna at home, follow these simple steps:


Now you try at home:

You can use these handy script to deploy it locally:
1 click installer LINUX

1 click install WINDOWS

1 click install MACOS

When asked to choose a model go for L (none) and input this one instead:


Use your favorite editor to modify the file “start_webui.bat” Edit the line

call python --auto-devices --cai-chat


call python --auto-devices --chat --wbits 4 --groupsize 128 --model anon8231489123_vicuna-13b-GPTQ-4bit-128g

Visit the official Vicuna GitHub repository:

Key Takeaways

Vicuna has emerged as the leading open-source AI model for local computer installations, offering numerous advantages over other AI models. Its superior performance, flexibility, ease of installation and use, and a thriving community make it the go-to solution for a wide range of AI applications.

As Vicuna continues to be adopted by more businesses and individuals, its capabilities will continue to grow, further cementing its position as the top choice for local computer installations. By leveraging Vicuna’s powerful features, users can unlock the full potential of AI to revolutionize their processes, gain valuable insights, and stay ahead of the competition.