Published: 2025-02-21 | Updated: 2026-02-14
This repository serves as a resource for exploring Artificial Intelligence (AI) through operational tools, educational materials, and practical implementations. It includes automation scripts, AI-driven applications, and tutorials designed to enhance understanding and application of AI concepts. The goal is to provide a hands-on learning experience while showcasing real-world AI use cases.
- Cloud (AWS) Services – Utilizing cloud-based AI tools and infrastructure to deploy and manage AI applications.
- Foundational models – Implementing foundation models and generative AI capabilities within AWS.
- Machine Learning models and training – Building, training, and deploying machine learning models for AI-driven applications.
- General AI Concepts – Understanding key principles, including neural networks, natural language processing, and automation.
- AI Risk – Assessing and mitigating potential risks in AI deployment, including bias, security, and compliance challenges.
- Prompt Engineering - The process of crafting and optimizing inputs to guide AI models toward accurate, relevant, and effective responses.
- Neural Networks - Building, testing, and implementing Neural Networks
- Generative Adversarial Networks (GANs) - Building, testing, and implementing GANs
- Cloud - AWS, GCP, streamlit, GitHub Codespaces
- APIs - ChatGPT, Mistral, Grok
- Prompt engineering
- Python - Including AI libraries (NumPy, Pandas, scikit-learn, TensorFlow, Keras)
- IDEs - Google Colab, VSCode
| Project Name | Description |
|---|---|
| Private GPT Instance | The installation, testing, and use of a private instance of various LLMs. Includes: llama, Mistral 7B, Stable Diffusion, image recongition, and external document upload. |
| Document Handling with Textract and Polly | The implementation of document handling using AWS Textract and Polly to create an MP3 audio file from written text. |
| Tech Jargon Buster | A tech jargon to plain lanuage translator which leverages LLM responses from ChatGPT, Mistral, and Grok for comparision. |
| Transcriber | Takes MP3 files, utilizes AI to transcribe them and then generate student notes |
| Personal Board of Directors | A virtual board of directors with 60+ personas of leaders throughout history from Budda to Branson, from Putin to Pope Francis - an AI chatbot |
| AI News Scraper | An bot to scrape meaningful daily news articles, tutorials, and videos then summarize them and send an email from a curated list of websites |
| Artificial Neural Networks (ANN) and Generative Adversarial Networks (GANs) | Comprehensive project showcasing the design, training, and evaluation of ANN and GAN models |
| Blog Post | Published | Description |
|---|---|---|
| Prompt Engineering Best Practices and Examples | 2025-02-21 | Detailed prompt engineering best practices to create high quality prompts and return meaningful results. |
| A Guide to Better Prompt Engineering | 2025-04-02 | A short guide providing contextual descriptions of how to generate better prompts using prompt engineering. |
| Implications of Temperature on Response Creativity | 2025-10-03 | A briefing and comparison between precision and creative modes based on the configurable LLM temperature setting. |
| TTCROFTCE Prompt Engineering | 2025-10-04 | A prompt template and technique to elicit more meaningful responses from an LLM. |
| ChatGPT Prompt Interface Overview | 2025-10-05 | A visual and functional overview of the ChatGPT input interface, including text, dictate, and voice modes. |
| ChatGPT Prompt Interface Commands | 2025-10-05 | A cheat sheet of the commands to influence the behavior of the ChatGPT and other LLMs. |
| ChatGPT 5 Response API Guide | 2025-10-18 | A guide to understanding the use of the Response API and parameters used by the API. |
| ChatGPT 5 Emojis & Icons Reference Guide | 2025-10-19 | A reference to all emojis and icons used by ChatGPT 5 |
| Hugging Face Model Selection Best Practices | 2026-02-14 | Hugging Face Model Selection Best Practices & Model Selection Checklist |
© 2026 Brock Frary. All rights reserved.