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PyTorch in Practice: Essential Building Blocks for Modern Deep Learning
From Tensors to Neural Networks: Understanding Core Components
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Value-Based Policy Training in Reinforcement Learning
Insights in a Jiffy #5: How Agents Use State-Value and Action-Value Functions to Optimize Choices
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Understanding Reinforcement Learning: Policy-Based and Value-Based Approaches
Insights in a Jiffy #4: How Agents Learn to Make Optimal Choices
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Fast and Efficient finetuning of LLMs: QLoRA
#12 Advanced Generative AI: Efficient Finetuning of Quantised LLMs
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From Decisions to Rewards: Understanding the RL Decision Making Process
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