Below are some cool AI-related links our team has shared recently. Please share your own interesting and helpful findings below. A special 
to educational and open source resources!
BTW, Nothing posted in this topic is considered an official endorsement by Mattermost.
Learn more on their blog.
You can now:
That have multiple tutorials:
With so many Large Language Models (LLMs) released regularly, here’s a list of popular available options so you can easily search and compare.
Machine Learning University (MLU) is an education initiative from Amazon designed to teach machine learning theory and practical application. As part of that goal, MLU-Explain exists to teach important machine learning concepts through visual essays in a fun, informative, and accessible manner.
A recent Reddit post showcased a series of artistic QR codes created with Stable Diffusion. Those QR codes were generated with a custom-trained ControlNet model. Just like another day in the Stable Diffusion community, people have quickly figured out how to make QR codes with Stable Diffusion WITHOUT a custom model.
AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses (performance in terms of image quality, as well as speed and relatively low resource/memory requirements).
GPT-4 is now generally available 
GPT-3.5 Turbo, DALL·E and Whisper APIs are also generally available, and we are releasing a deprecation plan for older models of the Completions API, which will retire at the beginning of 2024.
Llama 2 is available for free for research and commercial use.
Promptimize is fully open source tool that aims to evaluate and benchmark LLM prompts.
Here are three key takeaways from the project:
Prompt Engineering for Better Model Performance: Prompts can be used to ask for structured output from AI systems, enabling specific use cases like requesting SQL queries in a JSON format. The value of prompting is crucial. By structuring questions and providing context with prompts, AI systems can be effectively utilized for specialized tasks.
The Power of Test Suites for Model Evaluation: You know test suites in traditional software development? Developing a comprehensive test suite highly optimized for a specific use case enables quick identification of the best model for that particular scenario.
Embracing User Feedback and Iteration: User research techniques such as logging data, thumbs up/down ratings, and interviews can help evaluate the effectiveness of AI assist features.
LocalAI is a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format.
OpenOps uses LocalAI out-of-the-box to integrate with local models.
Explore the Dragon Realm: Build a C++ adventure game with a little help from AI 
Dive into the world of C++ and craft a magical text-based adventure game with my newest blog post! Let GitLab Duo Code Suggestions be your AI companion as you navigate the
Check out this cool GitLab tutorial using AI to make a text-based adventure game.
Nice post and please provide more information. Thanks for sharing.
As an invited speaker at AI DevWorld 2023, I’ve been given a URL for folks to sign up for a free virtual pass to the conference: HERE
An OPEN Pass will give them access to all OPEN Talks and to the virtual Expo. Take advantage of this exclusive speaker benefit.
Check out the schedule for a list of all the open talks (Oct 25th - Nov 2nd).
