This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. We kick off with a few topics focused on how we’re empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the …
Read more “Part 1: A Survey of Analytics Engineering Work at Netflix”
Developers face significant challenges when using foundation models (FMs) to extract data from unstructured assets. This data extraction process requires carefully identifying models that meet the developer’s specific accuracy, cost, and feature requirements. Additionally, developers must invest considerable time optimizing price performance through fine-tuning and extensive prompt engineering. Managing multiple models, implementing safety guardrails, and …
Read more “Simplify multimodal generative AI with Amazon Bedrock Data Automation”
One of the biggest areas of promise for generative AI is coding assistance — leveraging the power of large language models to help developers create or update application code with amazing speed and accuracy, dramatically boosting productivity. For Gemini Code Assist, 2024 has been a year of tremendous growth and innovation, as we help companies …
Read more “Reach beyond the IDE with tools for Gemini Code Assist”
Infertility affects an estimated 186 million people worldwide, with fallopian tube obstruction contributing to 11%-67% of female infertility cases. Researchers have developed an innovative solution using a magnetically driven robotic microscrew to treat fallopian tube blockages. The microrobot is made from nonmagnetic photosensitive resin, coated with a thin iron layer to give it magnetic properties. …
Read more “Tiny robots, big impact: Revolutionizing infertility treatment with magnetic microrobots”
Most major large language models (LLMs) can quickly tell when they are being given a personality test and will tweak their responses to provide more socially desirable results—a finding with implications for any study using LLMs as a stand-in for humans.
This article will navigate you through the deployment of a simple machine learning (ML) for regression using Streamlit.
We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.
Inside Look: The Baseline Team and Forward-Deployed Infrastructure Engineering at Palantir At Palantir, our customers rely on our applications operating seamlessly across a variety of cloud providers, on-premises hardware, and both commercial and government networks. They need our platforms to function reliably in these diverse environments. This is where we, the Forward Deployed Infrastructure Engineering team — known …
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Today, we are excited to announce that the Llama 3.3 70B from Meta is available in Amazon SageMaker JumpStart. Llama 3.3 70B marks an exciting advancement in large language model (LLM) development, offering comparable performance to larger Llama versions with fewer computational resources. In this post, we explore how to deploy this model efficiently on …
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AI is rapidly transforming industries and redefining the future of work. However, many organizations face a significant hurdle: bridging the knowledge gap and acquiring the necessary skills to effectively harness the power of AI. Recognizing this challenge, Google Cloud is set to launch the AI Playground in Shoreditch, Central London, in the first quarter of …
Read more “AI Playground: Where learning and innovation converge in the heart of London”