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Co-ML is a collaborative machine learning model building tool that fosters hands-on learning of dataset design practices through a distributed experience.

Speed up Mojo🔥 code by understanding and implementing loop unrolling.

Boost your data & AI skills with Databricks Academy Labs and Blended Learning, offering hands-on guided lab experiences in Databricks environments and a combination of self-paced and instructor-led sessions.

Learn how to correctly use -ed and -ing adjectives in English to convey the intended meaning of a sentence.

Empowering enterprise AI success through data development at Snorkel AI’s Enterprise LLM Summit

Building GenAI with Your Data - Snorkel AI's Enterprise LLM Summit addressed the importance of data development in enterprise AI, showcasing case studies, research, and practical examples.

Optimizing mixed-input matrix multiplication for AI-driven applications with memory-efficient data types and layout conformance on NVIDIA Ampere architecture

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Snorkel AI's Enterprise LLM Summit focused on the importance of data development for enterprise AI success.

Migrating Policy Delivery Engines with (almost) Nobody Knowing - A blog post about how Pinterest migrated their policy delivery engines to a new distribution model, ensuring minimal disruption and seamless cutover to a safer and more configurable config deployment approach.

Reduce cold start latency on Google Kubernetes Engine with 4 effective techniques

Automate the backup and restoration of Neo4j databases using GKE Cronjob and Google Cloud Storage.