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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Learn to quantize large language models using GGUF and AWQ. Explore techniques, compare methods, and gain practical skills for efficient model compression and deployment.
Master the complete pipeline for building custom transcription models from data preparation through training to deployment with hands-on implementation.
Explore advanced inference techniques like sampling and chain of thought to enhance AI model performance. Learn to optimize test-time compute for improved accuracy and efficiency.
Learn advanced techniques for distilling transformer models, including pruning, fine-tuning, and performance evaluation. Gain practical insights through code walkthroughs and real-world examples.
Master synthetic data generation and fine-tuning techniques for OpenAI GPT4o and Llama 3 models. Learn to create, augment, and utilize synthetic datasets to enhance model performance across various domains.
Explore advanced inference techniques using verifiers, parallel sampling, and prompt optimization to enhance language model performance and accuracy.
Explore the performance comparison between Google's TPUs and Nvidia GPUs for AI inference, with detailed benchmarking results, hardware specifications, and parallel processing approaches.
Explore robotics AI modeling challenges and solutions including ACT, GR00T-N1, and pi0 models for real-time robot control and multi-modal learning applications.
Explore robotics AI model fundamentals, comparing SO-101 robot options, leader-follower setups, and key differences between ACT, GR00T, and pi0 models for hands-on learning.
Master ACT policy training for the SO-101 robot using LeRobot library, covering setup, calibration, data recording, model training on CPU/GPU, and performance evaluation techniques.
Explore strategies for tackling the ARC AGI 2 challenge through program generation, expressive primitives, and test-time adaptation techniques.
Learn how to install, configure, and run DeepSeek v3 Reasoning Models efficiently on your laptop using LMStudio, with step-by-step guidance for different hardware configurations and performance optimization.
Dive into advanced vision language models with hands-on exploration of Qwen 2.5 VL, Moondream, and SmolVLM, covering fine-tuning techniques, performance benchmarking, and practical implementation strategies.
Explore the evolution and implementation of Group Relative Policy Optimization (GRPO) in reinforcement learning, from basic concepts to advanced applications, including comparisons with TRPO and PPO methods.
Master advanced AI fine-tuning techniques through a detailed comparison of Supervised Fine-Tuning (SFT) and Group Relative Policy Optimization (GRPO), including implementation strategies and practical applications.
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