# Nov 17, 2024

- **voyage-multimodal-3** is a groundbreaking multimodal embedding model that vectorizes interleaved text and images, enhancing retrieval accuracy by an average of **19.63%** over its closest competitor across various tasks, including document screenshots and table/figure retrieval.

- **Nobel laureates Emmanuelle Charpentier and Jennifer Doudna are seeking to cancel their own CRISPR patents in Europe** to avoid the repercussions of a recent unfavorable ruling that questioned the validity of their invention, which could reshape the landscape of CRISPR licensing and ownership.

- **SmoothLLM** is the first algorithm specifically designed to **mitigate jailbreaking attacks** on large language models (LLMs) by perturbing input prompts to enhance robustness against adversarial inputs.

- **`garak` is a comprehensive LLM vulnerability scanner** that identifies weaknesses such as hallucination, data leakage, and prompt injection, functioning similarly to `nmap` for network security but tailored for language models.

- **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.

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

- **Foundation model (FM)-based autonomous agents** are increasingly complex, necessitating a shift towards **AgentOps platforms** that prioritize **observability** and **traceability** throughout their life-cycle.

- **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.

- **A new multi-gate van der Waals interfacial junction transistor (vdW-IJT) enables the creation of reconfigurable fuzzy logic hardware**, which can significantly enhance edge computing by allowing local data processing with reduced latency and power consumption.

- **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.

- The study employs **10-fold cross-validation** on a **labeled dataset** of 28 Salmonella isolates, followed by predictions on an **unlabeled dataset** of 205 isolates, iteratively refining the model with newly labeled data.