Mixtral of Experts (Paper Explained)

RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

V-JEPA: Revisiting Feature Prediction for Learning Visual Representations from Video (Explained)

The Race to Harness Quantum Computing's Mind-Bending Power | The Future With Hannah Fry

Mistral AI's Open Source Initiative | Arthur Mensch, Mistral AI | #aiPULSE 2023

Flow Matching for Generative Modeling (Paper Explained)

What is Mixture of Experts?

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping (Searchformer)

Efficient Streaming Language Models with Attention Sinks (Paper Explained)

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)

Visual Calculations in Power BI - DAX Made Easy! [Full Course]

Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)

Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote

Transformers (how LLMs work) explained visually | DL5

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding (Paper Explained)

[1hr Talk] Intro to Large Language Models

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)

Lumiere: A Space-Time Diffusion Model for Video Generation (Paper Explained)

Sparse Expert Models (Switch Transformers, GLAM, and more... w/ the Authors)

Big Bird: Transformers for Longer Sequences (Paper Explained)