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Code a Python AI agent for Kaggle’s Lux AI competition, iteratively improving resource collection, city expansion, navigation, and game performance.
An examination of GPT-4’s reported abilities—from multimodal input and exam performance to planning limits, hallucinations, bias, and privacy—and whether they suggest AGI.
Explore OpenAI’s Whisper speech recognition model through implementation, weak supervision, fine-tuning, and factors affecting multilingual transcription and translation performance.
Track deep learning experiments with Weights & Biases, covering setup, benchmarking, and reinforcement.
Explore physics simulation for a quadruped robot using URDF, Isaac Sim, Isaac Gym, and Python control.
Builds GPyT, a GPT-style Python transformer trained on publicly accessible GitHub code to autocomplete and generate code.
Explore NVIDIA Jarvis for conversational AI through API setup, question answering, speech recognition, and microphone interaction.
Builds a simple AI that reads a Cyberpunk 2077 minimap and walks through the game using Python, OpenCV, masking, and pathing.
Build a console-based chat application in Python by creating sockets, receiving messages, and handling socket notifications.
Learn introductory data analysis with Python and Pandas by working with datasets, data frames, columns, indexing, and set indexes.
Learn how Cython adds typing and class attributes to Python so code can be translated into C and Python extensions for performance gains.
Cluster unlabeled data into chosen categories using K-Means with Python, NumPy, scatter plots, centroids, and labels.
Learn to build a QLoRA fine-tuning dataset for language models using Reddit data. Covers data acquisition, processing, structuring, and training sample creation, culminating in QLoRA training and results analysis.
A practical walkthrough of QLoRA fine-tuning, from preparing a custom Reddit dataset to merging and sharing the trained adapters.
Learn to query the ChatGPT API in Python and build a simple Gradio chat application with conversation history and dynamic input.
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