AI Coffee Break with Letitia
Letitia Parcalabescu
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 7 | Founded | 2 years ago | Last Issue | a year ago |
| Active | |||||
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aicoffeebreakwl.substack.comLatest Issues
LoRA Explained (Low-Rank Adaptation)
Large language models like GPT-3, LLaMA 2, and Falcon are remarkable for their general-purpose capabilities. However, when you need them to specialize—for instance, to create a banking chatbot or an assistant with deep medical expertise—pro...
Direct Preference Optimization (DPO) explained
The go-to method for preference tuning Large language models (LLMs) into conversational agents has been reinforcement learning from human feedback (RLHF). But RLHF, while effective, is complex, costly, and sometimes unstable. Fortunately th...
How OpenAI made o1 "think"
Here is what we think about the training procedure of OpenAI #o1. We speculate based on all the breadcrumbs we could find, how exactly reinforcement learning (RL) helped train the model to “think” by producing private Chain-of-Thought token...
My PhD Journey in AI + ML
This is a special AI Coffee Break: Recently, I’ve defended my PhD dissertation successfully and after sharing pictures of this academic milestone, many of you have asked about my PhD journey, the work I did, and the challenges I faced.
So,...
MAMBA and SSMs Explained
In the ever-evolving world of AI, there's a new contender making waves—MAMBA. It's been generating quite a buzz, and for good reason. Some even say it could replace the ubiquitous Transformer. Surprisingly, the MAMBA paper was initially rej...
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Authors
The writers behind this newsletter.
\ud83d\udcfa ML Youtuber http://youtube.com/AICoffeeBreak \ud83d\udc69\ud83c\udf93 PhD student in Computational Linguistics @ Heidelberg University | Impressum: https://t1p.de/q93um
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