AI Coffee Break with Letitia
6.4만
구독자
144
영상
최근 영상
Differential Privacy in 30 seconds
Google's new VaultGemma model – Differential Privacy explained
Flow Matching for text2image models
Flow-Matching vs Diffusion Models explained side by side
Energy-Based Models
Energy-Based Transformers explained | How EBTs and EBMs work
Inside ACL 2025 Vienna: Posters & Talks
Min-p, the new kid on the LLM sampling block
Temperature Sampling in LLMs
AI Word Choice Isn't Random – It’s Top-p Sampling
LLMs don't Choose the Next Most Probable Token
Top-k sampling explained
Greedy? Min-p? Beam Search? How LLMs Actually Pick Words – Decoding Strategies Explained
AlphaEvolve: Using LLMs to solve Scientific and Engineering Challenges | AlphaEvolve explained
Token-Efficient Long Video Understanding for Multimodal LLMs | Paper explained
4-Bit Training for Billion-Parameter LLMs? Yes, Really.
s1: Simple test-time scaling: Just “wait…” + 1,000 training examples? | PAPER EXPLAINED
Only self-supervision
Training large language models to reason in a continuous latent space – COCONUT Paper explained
Why do we need Tokenizers for LLMs?
The best idea in NLP since 2017
LLM Lecture: A Deep Dive into Transformers, Prompts, and Human Feedback
32 seconds of awkward silence with Letitia
REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...
Math Anxiety? and what it has to do with AI – 🔴at #HLF24 with Prof. Yael Tauman Kalai
Graph Language Models EXPLAINED in 5 Minutes! [Author explanation 🔴 at ACL 2024]
How OpenAI made o1 "think" – Here is what we think and already know about o1 reinforcement learning
Transformer LLMs are Turing Complete after all !?
Mission: Impossible language models – Paper Explained [ACL 2024 recording]
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained