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LoRA Explained (Low-Rank Adaptation)
A Game-Changer for Fine-Tuning Large Language Models (LLMs)
Jan 5
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LoRA Explained (Low-Rank Adaptation)
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December 2024
Direct Preference Optimization (DPO) explained
A Simpler Way to Fine-Tune Language Models than with RLHF
Dec 27, 2024
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Direct Preference Optimization (DPO) explained
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September 2024
How OpenAI made o1 "think"
Here is what we think and already know about o1 reinforcement learning.
Sep 14, 2024
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How OpenAI made o1 "think"
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My PhD Journey in AI + ML
while balancing YouTube on the side
Sep 1, 2024
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My PhD Journey in AI + ML
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August 2024
MAMBA and SSMs Explained
State Space Models (SSMs) and Selective SSMs: MAMBA explained
Aug 25, 2024
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MAMBA and SSMs Explained
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Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained
Learn about how diffusion models can finally generate good quality text.
Aug 24, 2024
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Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained
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Introducing The AI Coffee Break Blog
Why I started a blog
Aug 24, 2024
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Introducing The AI Coffee Break Blog
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