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The State of Reinforcement Learning for LLM Reasoning

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Understanding Reasoning LLMs

2 months ago magazine.sebastianraschka.com llm

Building LLMs from the Ground Up: A 3-Hour Coding Workshop

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Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch

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Coding Self-Attention, Multi-Head Attention, Cross-Attention, Causal-Attention

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Ten Noteworthy AI Research Papers of 2023

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Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation)

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AI and Open Source in 2023

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Training and aligning LLMs with RLHF and RLHF alternatives

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Optimizing LLMs from a Dataset Perspective

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Understanding Llama 2 and the New Code Llama LLMs

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Why the original transformer figure is wrong, and some other tidbits about LLMs

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Finetuning Large Language Models

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Understanding large language models: A cross-section of the relevant literature

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Understanding and coding the self-attention mechanism of large language models

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Understanding Large Language Models – A Transformative Reading List

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A Short Chronology of Deep Learning for Tabular Data

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Running PyTorch on the M1 GPU

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Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book

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Intro to Deep Learning Course – 170 videos from the basics to transformers

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Scientific Computing in Python: Introduction to NumPy and Matplotlib -- Including Video Tutorials

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Key differences between Python 2.7.x and Python 3.x (2014)

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A step by step guide for getting Python 3.6 & TensorFlow up and running on AWS EC2 instances

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Implementing a Principal Component Analysis In Python (2014)

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Python, Machine Learning, and Language Wars

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The key differences between Python 2.7.x and Python 3.x with examples

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Python, Machine Learning, and Language Wars (2015)

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Python, Machine Learning, and Language Wars. A Highly Subjective Point of View

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Feature Scaling and Normalization

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A glimpse of the early history of machine learning – artificial neurons

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