# Nov 16, 2024

### DuckDB Optimizers: The Low-Key MVP

- **Optimizers in DuckDB significantly enhance query performance**, achieving execution times of **0.769 seconds** compared to over **24 hours** for unoptimized queries, demonstrating their critical role in database efficiency.

### Numpyro: Probabilistic programming with NumPy powered by Jax

- **NumPyro** is a **lightweight probabilistic programming library** built on **JAX**, enabling efficient automatic differentiation and JIT compilation for various hardware accelerators, including GPU and TPU.

### Artificial Intelligence for Quantum Computing

- **AI's advancements** are revolutionizing **quantum computing (QC)** by addressing its complex challenges, suggesting that AI may be key to overcoming QC's scaling issues.

### [D] Paper Club: Nvidia Researcher Ethan He Presents Upcycling LLMs in MoE

- **Ethan He** from Nvidia will present his research on **Upcycling LLMs in Mixture of Experts (MoE)**, showcasing innovative techniques for enhancing large language models.

### Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution

- **Generative AI and Large Language Models (LLMs)** are at the forefront of the Thoughtworks Technology Radar, emphasizing their responsible integration into software development practices.

### [R] Convolutional Differentiable Logic Gate Networks

- **Convolutional Differentiable Logic Gate Networks** leverage logic gate operators like **NAND, OR, and XOR** for efficient inference, achieving **86.29% accuracy on CIFAR-10** with only **61 million gates**, significantly smaller than conventional models.

### Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

- **Run-Length Tokenization (RLT)** significantly enhances the efficiency of video transformers, enabling faster processing without sacrificing performance.

### [R][D] Test time training for abstract reasoning

- **Test time training** can enhance model performance in **abstract reasoning** tasks by allowing slight fine-tuning based on the specific question posed, potentially improving accuracy and relevance in responses.

### GraphRAG: Improving global search via dynamic community selection

- **GraphRAG enhances global search** by implementing **dynamic community selection**, which prunes irrelevant reports early, leading to a **77% reduction in token costs** while maintaining response quality comparable to static methods.