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AI Coffee Break with Letitia

Lighthearted bite-sized ML videos for your AI Coffee Break! 📺 Mostly videos about the latest technical advancements in AI, such as large language models (LLMs), text-to-image models and everything cool in natural language processing, computer vision, etc.! We try to post twice a month! 🤞 But you know, Letitia has a full-time job, and Ms. Coffee Bean tends to enjoy time off to go out and have fun. 😄 Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer. Impressum: https://aicoffeebreak.com/impressum.html

6.4만
구독자
144
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최근 영상
Differential Privacy in 30 seconds
Differential Privacy in 30 seconds
조회 3.8K 좋아요 60 10개월 전
Google's new VaultGemma model – Differential Privacy explained
Google's new VaultGemma model – Differential Privacy explained
조회 5.0K 좋아요 248 10개월 전
Flow Matching for text2image models
Flow Matching for text2image models
조회 4.8K 좋아요 165 11개월 전
Flow-Matching vs Diffusion Models explained side by side
Flow-Matching vs Diffusion Models explained side by side
조회 4.1만 좋아요 1.8K 11개월 전
Energy-Based Models
Energy-Based Models
조회 3.3K 좋아요 113 11개월 전
Energy-Based Transformers explained | How EBTs and EBMs work
Energy-Based Transformers explained | How EBTs and EBMs work
조회 1.7만 좋아요 758 1년 전
Inside ACL 2025 Vienna: Posters & Talks
Inside ACL 2025 Vienna: Posters & Talks
조회 2.6K 좋아요 81 1년 전
Min-p, the new kid on the LLM sampling block
Min-p, the new kid on the LLM sampling block
조회 3.7K 좋아요 137 1년 전
Temperature Sampling in LLMs
Temperature Sampling in LLMs
조회 2.9K 좋아요 56 1년 전
AI Word Choice Isn't Random – It’s Top-p Sampling
AI Word Choice Isn't Random – It’s Top-p Sampling
조회 3.0K 좋아요 44 1년 전
LLMs don't Choose the Next Most Probable Token
LLMs don't Choose the Next Most Probable Token
조회 2.4K 좋아요 78 1년 전
Top-k sampling explained
Top-k sampling explained
조회 5.7K 좋아요 132 1년 전
Greedy? Min-p? Beam Search? How LLMs Actually Pick Words – Decoding Strategies Explained
Greedy? Min-p? Beam Search? How LLMs Actually Pick Words – Decoding Strategies Explained
조회 7.0K 좋아요 388 1년 전
AlphaEvolve: Using LLMs to solve Scientific and Engineering Challenges | AlphaEvolve explained
AlphaEvolve: Using LLMs to solve Scientific and Engineering Challenges | AlphaEvolve explained
조회 6.3K 좋아요 309 1년 전
Token-Efficient Long Video Understanding for Multimodal LLMs | Paper explained
Token-Efficient Long Video Understanding for Multimodal LLMs | Paper explained
조회 6.9K 좋아요 314 1년 전
4-Bit Training for Billion-Parameter LLMs? Yes, Really.
4-Bit Training for Billion-Parameter LLMs? Yes, Really.
조회 1.5만 좋아요 825 1년 전
s1: Simple test-time scaling: Just “wait…” + 1,000 training examples? | PAPER EXPLAINED
s1: Simple test-time scaling: Just “wait…” + 1,000 training examples? | PAPER EXPLAINED
조회 5.4K 좋아요 332 1년 전
Only self-supervision
Only self-supervision
조회 1.7K 좋아요 83 1년 전
Training large language models to reason in a continuous latent space – COCONUT Paper explained
Training large language models to reason in a continuous latent space – COCONUT Paper explained
조회 1.9만 좋아요 1.0K 1년 전
Why do we need Tokenizers for LLMs?
Why do we need Tokenizers for LLMs?
조회 2.2K 좋아요 83 1년 전
The best idea in NLP since 2017
The best idea in NLP since 2017
조회 2.5K 좋아요 117 1년 전
LLM Lecture: A Deep Dive into Transformers, Prompts, and Human Feedback
LLM Lecture: A Deep Dive into Transformers, Prompts, and Human Feedback
조회 1.5만 좋아요 752 1년 전
32 seconds of awkward silence with Letitia
32 seconds of awkward silence with Letitia
조회 1.4K 좋아요 47 1년 전
REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...
REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...
조회 5.1K 좋아요 276 1년 전
Math Anxiety? and what it has to do with AI – 🔴at #HLF24 with Prof. Yael Tauman Kalai
Math Anxiety? and what it has to do with AI – 🔴at #HLF24 with Prof. Yael Tauman Kalai
조회 4.0K 좋아요 144 1년 전
Graph Language Models EXPLAINED in 5 Minutes!  [Author explanation 🔴 at ACL 2024]
Graph Language Models EXPLAINED in 5 Minutes! [Author explanation 🔴 at ACL 2024]
조회 6.9K 좋아요 268 1년 전
How OpenAI made o1 "think" – Here is what we think and already know about o1 reinforcement learning
How OpenAI made o1 "think" – Here is what we think and already know about o1 reinforcement learning
조회 1.2만 좋아요 459 2년 전
Transformer LLMs are Turing Complete after all !?
Transformer LLMs are Turing Complete after all !?
조회 7.4K 좋아요 287 2년 전
Mission: Impossible language models – Paper Explained [ACL 2024 recording]
Mission: Impossible language models – Paper Explained [ACL 2024 recording]
조회 9.2K 좋아요 369 2년 전
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained
조회 1.7만 좋아요 637 2년 전
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