This Week
Weekly Newsletter
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AREAL: Accelerating Large Reasoning Model Training with Fully Asynchronous Reinforcement Learning
Introduction: The Need for Efficient RL in LRMs Reinforcement Learning RL is increasingly used to enhance LLMs, especially for reasoning tasks. These models,...
admin3 Mins read
How Latent Vector Fields Reveal the Inner Workings of Neural Autoencoders
Autoencoders and the Latent Space Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example...
admin3 Mins read
Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions, and SQL Integration
In this tutorial, we delve into building an advanced data analytics pipeline using Polars, a lightning-fast DataFrame library designed for optimal performance and...
admin5 Mins read
From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation
The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in text, which is crucial for comprehending complex...
admin3 Mins read
Gemini 2.5 model family expands
We designed Gemini 2.5 to be a family of hybrid reasoning models that provide amazing performance, while also being at the Pareto Frontier...
admin1 Mins read
Gemini 2.5: Updates to our family of thinking models
Today we are excited to share updates across the board to our Gemini 2.5 model family: Gemini 2.5 Pro is generally available and...
admin2 Mins read
How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized...
admin5 Mins read
EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs
The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. However, these models...
admin3 Mins read
