LoRA Explained (Low-Rank Adaptation)
A Game-Changer for Fine-Tuning Large Language Models (LLMs)
AI Coffee Break with Letitia
Letitia Parcalabescu
Subscribe:.rss.atom.json.md.m3u.pls
Dormant Last read · last published · next check
Read 3 days ago and current, but nothing has been published for 20 months.
Latest episodes
Direct Preference Optimization (DPO) explained
A Simpler Way to Fine-Tune Language Models than with RLHF
How OpenAI made o1 "think"
Here is what we think and already know about o1 reinforcement learning.
My PhD Journey in AI + ML
while balancing YouTube on the side
MAMBA and SSMs Explained
State Space Models (SSMs) and Selective SSMs: MAMBA explained
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained
Learn about how diffusion models can finally generate good quality text.
Introducing The AI Coffee Break Blog
Why I started a blog