PeterP's repositories
Prompt-Engineering-Masterclass
various techniques and working code examples with the latest OpenAI gpt-4-turbo model to test the capabilities of the LLM
CrewAI-Personal-Projects
various use cases of crewAI agents for distinct tasks
Gemini-Prompting-Capabilities
exploring the mistral cookbook but for google gemini API instead
Gemini-Prompt-Chaining
Write an article on any topic with prompt chaining and iterative generation using google gemini 1.5
AI-QUIZ-APP
enter a topic relating to technology and auto generate some quiz questions
Powerlifting-Big-Brain-Math
some java code while working on custom formulas
Data-Science
data science projects that i've worked on over the past few months
Custom-Cloud-Plugin-Authenticator
runelite plugin that allows you to validate licenses through a custom server so you can distribute to customers without a loophole
AI-Catchy-YouTube-Title-Generator
enter a topic or prompt in the textbox and let the LLM generate you a list of potential titles
OpenAI-GPT-Summariser
upload a .mp3 file and perform some detailed analysis on it using whisper and gpt4
Podcast_AI_Helper
provide the path to an mp3 file from a podcast/lecture and ask it specific questions, report a summary and even print action items.
AI-Document-Chatter
google colab project implementing local rag with openAI and voice to text
AI-Twitter-Content-Generator
generates posts for twitter using crewAI. setup the agents and watch the magic unfold. this one specifically focuses on creating a science backed post on foam rolling.
Computer-Vision-Object-Detection-in-Runescape-
using yolov4 to detect game objects in runescape
Query-Documents-with-RAG
utilising lightning.ai to conveniently chat with complex documents
Powerlifting-Squat-Depth-Checker
Real time model to detect if a lifter has reached sufficient squat depth based on the IPF/USAPL rules of powerlifting.
ML-MNIST
Pre-process and explore the Fashion MNIST dataset. The goal here was to build a machine learning model capable of accurately classifying the images into their respective categories.
AI-TTT
Tic Tac Toe game, incorporating advanced AI strategies such as Q-Learning, Monte Carlo Tree Search (MCTS), and Value Iteration.