Use the edit functionality for easy management of CDF pipelines
Manage CDF pipelines easily with the new edit functionality for versioning and collaboration
Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker
This blogpost discusses model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker, including best practices and two methods for managing the models.
Harness large language models in fake news detection
Learn how to use large language models to detect fake news in this blog post, with a focus on Chain-of-Thought and ReAct prompt techniques.
GraphCast: AI model for faster and more accurate global weather forecasting
GraphCast is a state-of-the-art AI model for faster and more accurate global weather forecasting, offering improved predictions and earlier warnings of extreme weather events.
Privacy Engineering at DoorDash Drive
DoorDash Drive implements privacy engineering by using geomasking to protect user privacy while maintaining local analytic capabilities.
The What, Why, and How of Mastering App Size
Mastering app size is crucial for user experience and environmental impact.
Dear Duolingo: What does it mean to be a "No Sabo" kid?
Exploring the concept of being a 'No Sabo' kid and the unique situation of heritage speakers in language and culture.
From AI to sustainability, why our latest data centers use 400G networking
Discover why Dropbox's latest data centers are using 400G networking, combining AI-powered tools, sustainability goals, and advanced technologies to meet bandwidth requirements and improve efficiency.
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Introducing asymmetric certified robustness and feature-convex neural networks for fast and accurate certification against adversarial attacks.
Detecting Speech and Music in Audio Content
Detecting speech and music in audio content
MARRS: Multimodal Reference Resolution System
Overview of MARRS, a Multimodal Reference Resolution System, for handling conversational, visual and background context in a Natural Language Understanding system.
Extending the RoPE
Extending the RoPE: A line of research that improves context length of RoPE for easy adaptation of pretrained language models to challenging tasks.