Copyright 2024 Ardan Labs
hello@ardanlabs.com
Name: Bill Kennedy
Company: Ardan Labs
Title: Managing Partner
Email: bill@ardanlabs.com
Twitter: goinggodotnet
THIS IS A WORK IN PROGRESS
These examples provide a foundation for understanding the semantics behind vector embeddings and the basics behind writing LLM based applications to allow people to interact with your own content. Each example builds on the next, providing you a strong understanding of how LLM based AI applications work.
You will find in the source code file for each example notes to help you understand the example and how to run it.
The makefile has everything you need to get up and running quickly.
This codebase provides a complete working implementation of Connect 4 where you play against a VectorDB and a LLM. This is a work in progress as well as I learn more. This game requires you install and run a few things such as Docker and Ollama. Follow the instructions to get started.
Start by installing mongosh and ollama using Brew. If you don't have Brew installed, I highly recommend it.
make install
Next you want to pull down two images mongodb/mongodb-atlas-local and dyrnq/open-webui:main.
make docker
With the software installed, you will want to start your Ollama service. Open a terminal and run the following command. This will show logs so start a terminal window you can see but won't need.
make dev-ollama-up
Now start the Mongo and Open Web containers in Docker Compose. Open a new terminal window for this.
make dev-up
Now you need to pull down the models you will be using. Open a new terminal window for this. This might take several minutes depending on your bandwidth.
make ollama-pull
Now you need to train the system so it has some intelligence to play. This will take a few minutes.
make connect-train
You are finally ready to play the game. Give yourself a decent terminal window for the game to load in.
make connect
You are the Blue player and the AI is the Red. You can use the arrow keys to pick a position and then the spacebar, enter, or down arrow key to make your column selection. Wait for your turn and select the column once.
As you finish each game, you can use the command to train the AI from what it learned in the previous game. You will see new files in the training-data folder as you play and a change_log.txt file. Once you train the system, the change_log.txt will be deleted. If you would like to provide me with the new training-data, please reach out. You can always pull the latest code and I am sure new training data will follow.
Anytime you pull a new version of the repo, just run the training command again. You can run that at any time.
make connect-train
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
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Ardan Labs (www.ardanlabs.com)
hello@ardanlabs.com
The entire training class has been recorded to be made available to those who can't have the class taught at their company or who can't attend a conference. This is the entire class material.
We have taught Go to thousands of developers all around the world since 2014. There is no other company that has been doing it longer and our material has proven to help jump-start developers 6 to 12 months ahead of their knowledge of Go. We know what knowledge developers need in order to be productive and efficient when writing software in Go.
Our classes are perfect for intermediate-level developers who have at least a few months to years of experience writing code in Go. Our classes provide a very deep knowledge of the programming langauge with a big push on language mechanics, design philosophies and guidelines. We focus on teaching how to write code with a priority on consistency, integrity, readability and simplicity. We cover a lot about “if performance matters” with a focus on mechanical sympathy, data oriented design, decoupling and writing/debugging production software.
William Kennedy (@goinggodotnet)
William Kennedy is a managing partner at Ardan Labs in Miami, Florida. Ardan Labs is a high-performance development and training firm working with startups and fortune 500 companies. He is also a co-author of the book Go in Action, the author of the blog GoingGo.Net, and a founding member of GoBridge which is working to increase Go adoption through diversity.
Go is an open source programming language that makes it easy to build simple, reliable, and efficient software. Although it borrows ideas from existing languages, it has a unique and simple nature that make Go programs different in character from programs written in other languages. It balances the capabilities of a low-level systems language with some high-level features you see in modern languages today. This creates a programming environment that allows you to be incredibly productive, performant and fully in control; in Go, you can write less code and do so much more.
Go is the fusion of performance and productivity wrapped in a language that software developers can learn, use and understand. Go is not C, yet we have many of the benefits of C with the benefits of higher level programming languages.
The Ecosystem of the Go Programming Language - Henrique Vicente
The Why of Go - Carmen Andoh
Go Ten Years and Climbing - Rob Pike
The eigenvector of "Why we moved from language X to language Y" - Erik Bernhardsson
Learn More - Go Team
Simplicity is Complicated - Rob Pike
Getting Started In Go - Aarti Parikh
The material has been designed to be taught in a classroom environment. The code is well commented but missing some contextual concepts and ideas that will be covered in class. Students with the following minimal background will get the most out of the class.
- Studied CS in school or has a minimum of two years of experience programming full time professionally.
- Familiar with structural and object oriented programming styles.
- Has worked with arrays, lists, queues and stacks.
- Understands processes, threads and synchronization at a high level.
- Operating Systems
- Has worked with a command shell.
- Knows how to maneuver around the file system.
- Understands what environment variables are.
We use a Slack channel to share links, code, and examples during the training. This is free. This is also the same Slack community you will use after training to ask for help and interact with may Go experts around the world in the community.
- Using the following link, fill out your name and email address: https://invite.slack.gobridge.org
- Check your email, and follow the link to the slack application.
- Join the training channel by clicking on this link: https://gophers.slack.com/messages/training/
- Click the “Join Channel” button at the bottom of the screen.
All material is licensed under the Apache License Version 2.0, January 2004.