AI Coffee Break with Letitia

[Quiz] Eigenfaces, Domain adaptation, Causality, Manifold Hypothesis, Denoising Autoencoder

Foundation Models | On the opportunities and risks of calling pre-trained models “Foundation Models”

Swin Transformer paper animated and explained

MAMBA and State Space Models explained | SSM explained

ConvNeXt: A ConvNet for the 2020s – Paper Explained (with animations)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model | DPO paper explained

Beyond neural scaling laws – Paper Explained

An image is worth 16x16 words: ViT | Vision Transformer explained

AI beats us at another game: STRATEGO | DeepNash paper explained

Supercharging RAG with Generative Feedback Loops from Weaviate

Training learned optimizers: VeLO paper EXPLAINED

Masked Autoencoders Are Scalable Vision Learners – Paper explained and animated!

Shapley Values Explained | Interpretability for AI models, even LLMs!

PaLM Pathways Language Model explained | 540 Billion parameters can explain jokes!?

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution – Paper Explained

What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED

Stealing Part of a Production LLM | API protects LLMs no more

Transformers explained | The architecture behind LLMs

Author Interviews, Poster Highlights, Summary of the ACL 2023 Toronto NLP

Are ChatBots their own death? | Training on Generated Data Makes Models Forget – Paper explained

DALL-E 3 is better at following Text Prompts! Here is why. — DALL-E 3 explained

UMAP explained | The best dimensionality reduction?

The first law on AI regulation | The EU AI Act

[Own work] MM-SHAP to measure modality contributions

Positional embeddings in transformers EXPLAINED | Demystifying positional encodings.

Adversarial Machine Learning explained! | With examples.

My PhD Journey in AI / ML (while doing YouTube on the side)

Say that 3 times in a row. 😅

DALLE-2 has a secret language!? | Theories and explanations

Machine Translation for a 1000 languages – Paper explained

Diffusion models explained. How does OpenAI's GLIDE work?

The ultimate intro to Graph Neural Networks. Maybe.

Sparse LLMs at inference: 6x faster transformers! | DEJAVU paper explained

Genie explained 🧞 Generative Interactive Environments paper explained

GaLore EXPLAINED: Memory-Efficient LLM Training by Gradient Low-Rank Projection

OpenAI’s CLIP explained! | Examples, links to code and pretrained model

ChatGPT ist not an intelligent agent. It is a cultural technology. – Gopnik Keynote

Do LLMs understand? Jay Alammar's TLDR of Geoffrey Hinton ACL2023 Keynote

Adversarial Attacks and Defenses. The Dimpled Manifold Hypothesis. David Stutz from DeepMind

LLM hallucinations discover new math solutions!? | FunSearch explained

Eight Things to Know about Large Language Models

[Own work] On Measuring Faithfulness or Self-consistency of Natural Language Explanations

How OpenAI made o1 "think" – Here is what we think and already know about o1 reinforcement learning

How does Stable Diffusion work? – Latent Diffusion Models EXPLAINED

[Own work] VALSE 💃: Benchmark for Vision and Language Models Centered on Linguistic Phenomena

Imagen, the DALL-E 2 competitor from Google Brain, explained 🧠| Diffusion models illustrated