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WeatherBench 2 is a benchmark for evaluating and comparing different methodologies in the next generation of data-driven weather models, with a focus on machine learning-based models, providing trusted and reproducible results.

The blogpost discusses the ability of foundation models to improve themselves through self-learning, as demonstrated by four new papers by Snorkel researchers.

Exploring the use of AI for educational purposes and teaching

LinkedIn's blogpost discusses their journey with implementing Content Security Policy (CSP) to enhance security and developer productivity at the web framework layer.

Discover the benefits of upgraded Codespaces in reducing costs and improving processing power on GitHub.

Introducing the new role of Delivery Solution Architect at Databricks

This blogpost discusses the challenges of maintaining application-level consistency in LiteFS, a distributed SQLite system, and introduces a solution using a LiteFS client library and a thin HTTP proxy.

Modeling and improving text stability in live captions through the use of a flicker-based metric, stability algorithms for tokenized alignment and semantic merging, and a user study evaluating the effectiveness of the stabilization techniques.

The blogpost introduces the new Generative AI features for QnABot on AWS solution and provides a tutorial to create, deploy and customize it, along with discussing relevant use cases.

Exploring planning algorithms for autonomous vehicles to navigate dynamic environments safely

A strategy for generating impressions from radiology reports using AWS services and fine-tuned LLMs is demonstrated in this post.

Efficient Fine-Tuning with LoRA: A Guide to Optimal Parameter Selection for Large Language Models provides insights and strategies for businesses on AI applications and value with neural network-based techniques and LLM research.