Standard LLMs are not enough. How to make them work for your business
Customizing LLMs for your business is a fresh challenge that data science leaders face.
A Pattern for the Lightweight Deployment of Distributed XGBoost and LightGBM Models
A pattern for deploying distributed XGBoost and LightGBM models in a lightweight manner.
Building Resilience in the Face of Disruption: LinkedIn's Journey to ISO 22301 Certification
LinkedIn shares their journey to achieve ISO 22301 certification in the midst of a global pandemic and how they adapted their operations to ensure resilience and customer confidence.
Cloudflare's a Top 100 Most Loved Workplace for the second consecutive year in 2023
Cloudflare is recognized as one of the Top 100 Most Loved Workplaces for the second consecutive year in 2023, highlighting the company's commitment to its mission and employees.
Uncovering the Hidden WebP vulnerability: a tale of a CVE with much bigger implications than it originally seemed
Uncovering the Hidden WebP vulnerability and its wider implications for the Internet ecosystem
How Ribbon Health and Databricks Unlock Better Patient Care
Collaboration between Ribbon Health and Databricks improves patient care
Three New Modules on LLM University: Semantic Search, Prompt Engineering, and Building With the Cohere Platform
Introduction to three new modules on LLM University: Semantic Search, Prompt Engineering, and Building With the Cohere Platform.
Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium
Using AWS Trainium for fast and cost-effective fine-tuning of LLaMA 2 models
Improve prediction quality in custom classification models with Amazon Comprehend
Building and optimizing custom classification models with Amazon Comprehend to improve prediction quality
New tools are available to help reduce the energy that AI models devour
Developing tools to reduce energy consumption and improve efficiency in AI model training
Meta contributes new features to Python 3.12
Details about new features and performance improvements added to Python 3.12, including contributions from Meta.
Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models
Simplified monitoring and diagnostics for AI models to address unexpected results in real-world deployments.