Ruan Pretorius

Monitoring and evaluating LLM apps with Langfuse. Presented at PyConZA 2024.

Tool for evaluating structured outputs

Fully automated AI blog writer that uses LangChain and GPT type LLMs for topic selection and content generation

RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way

Automatically generates detailed pull request messages with LLMs based on commit history

An app that summarises and answers questions about arbitrary YouTube videos using LangChain and LLMs

My personal website

my custom profile

MCP server for weather forecasts and alerts

Hello World tutorial with AWS CDK

Testing CrewAI

Reinforcement learning model for portfolio management that takes investor preferences into account

See how complex ML models can learn naive strategies of forecasting stock price movements

EcrivAI's static blog site generator

Differentially private spatial decomposition of 2D data for range queries

Creates a five-day temperature forecast for any group of cities. Forecasts are generated by parameterised jupyter notebooks that run in parallel.

Playing with LangGraph agents, inspired by the DLAI short course

Starter code for deploying a FastAPI app on AWS ECS

Build resilient language agents as graphs.

Simple tool calling agent with LangChain

Deployed LangServe app on AWS Lambda

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Examples showcasing how to use Highwind

Using decision trees for predicting soil resistivity to improve the design process of overhead power line tower earth electrodes

Playing with the deepface package

No description provided.

Automate the tedious exposure filling process on GuruShots

PyData Global 2023 talk on using synthetic data to test data pipelines

Best Practices on Recommendation Systems

From MLOps Community RAG course