engblogs

Scalable quality measurement using a NCQA-Certified Engine on the Lakehouse through collaboration with David Roberts, Kevin P. Buchan Jr, and Yubin Park.

Improving stakeholder experience and enabling next generation integrated risk management at LinkedIn through elevated risk and compliance platform.

Insights from inspiring Duos on how their Hispanic heritage has shaped their worldviews

Explore the latest trends in data-centric AI and LLM applications in the Future of Data-Centric AI 2023 videos.

Learn how Prisma saved 98% on distribution costs by switching to Cloudflare R2 for engine distribution.

Videos from the Future of Data-Centric AI 2023 conference are now available for viewing.

Comparison of the performance and scalability of Lambda's NVIDIA H100 SXM5 instance with the reference NVIDIA A100 SXM4 Tensor Core system using DeepChat's 3-step training example

This blogpost discusses the development of industrial use cases for physical simulation on future error-corrected quantum computers in three specific applications: analyzing the chemistry of cytochrome P450 enzymes, studying alternative materials for lithium-ion batteries, and simulating the dynamics of charged particles in inertial confinement fusion experiments.

Understanding the two-step process of LLM text generation and best practices for LLM inference performance engineering.

A blogpost that introduces the top 5 common mistakes made by English learners and provides solutions to overcome them.

The blogpost discusses Google Cloud's commitment to protecting customers through generative AI indemnification, specifically addressing intellectual property indemnity for both training data and generated output of foundation models.

Build AI/ML and generative AI applications in Python with BigQuery DataFrames, an open source library that allows Python developers to analyze and understand BigQuery data, perform exploratory data analysis, advanced data manipulation, data preparation, large-scale ML training, scalable Python functions, seamless transitions to pandas, and integration with Vertex AI, Hex, and Deepnote.