FAANG - Robotic Content

Announcing Mistral AI’s Mistral Large 24.11 and Codestral 25.01 models on Vertex AI

by AI Generated Robotic ContentFAANG January 14, 2025Comments are Disabled

Editor’s note: This announcement was originally published on November 21, 2024, announcing the general availability of Mistral Large 24.11 on Vertex AI. This announcement was updated on January 13, 2025, to reflect the availability of Codestral 25.01, Mistral AI’s newest model designed for code generation tasks. In July, we announced the availability of Mistral AI’s …

Empowering retailers with AI for commerce, marketing, supply chains, and more

by AI Generated Robotic ContentFAANG January 13, 2025Comments are Disabled

Google Cloud’s mission is to accelerate every organization’s ability to digitally transform its business and industry — and a key part of doing that is with our ISV and service partners, who possess critical industry knowledge and technical expertise. To provide customers with the most advanced ecosystem of solutions across industries, we’ve enabled these partners …

Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis

by AI Generated Robotic ContentFAANG January 11, 2025Comments are Disabled

Fingerprinting codes are a crucial tool for proving lower bounds in differential privacy. They have been used to prove tight lower bounds for several fundamental questions, especially in the “low accuracy” regime. Unlike reconstruction/discrepancy approaches however, they are more suited for proving worst-case lower bounds, for query sets that arise naturally from the fingerprinting codes …

Privacy-Computation Trade-offs in Private Repetition and Metaselection

by AI Generated Robotic ContentFAANG January 10, 2025Comments are Disabled

A Private Repetition algorithm takes as input a differentially private algorithm with constant success probability and boosts it to one that succeeds with high probability. These algorithms are closely related to private metaselection algorithms that compete with the best of many private algorithms, and private hyperparameter tuning algorithms that compete with the best hyperparameter settings …

Build an Amazon Bedrock based digital lending solution on AWS

by AI Generated Robotic ContentFAANG January 10, 2025Comments are Disabled

Digital lending is a critical business enabler for banks and financial institutions. Customers apply for a loan online after completing the know your customer (KYC) process. A typical digital lending process involves various activities, such as user onboarding (including steps to verify the user through KYC), credit verification, risk verification, credit underwriting, and loan sanctioning. …

Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

by AI Generated Robotic ContentFAANG January 10, 2025Comments are Disabled

Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be a barrier for many developers and enterprises to “productionize” AI. This is where retrieval-augmented generation (RAG) becomes non-negotiable – it strengthens your …

Unlock cost-effective AI inference using Amazon Bedrock serverless capabilities with an Amazon SageMaker trained model

by AI Generated Robotic ContentFAANG January 9, 2025Comments are Disabled

In this post, I’ll show you how to use Amazon Bedrock—with its fully managed, on-demand API—with your Amazon SageMaker trained or fine-tuned model. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and …

Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

by AI Generated Robotic ContentFAANG January 9, 2025Comments are Disabled

The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The preprocessing phase, which is critical for transforming raw data into a format suitable for model training, can become a major …

Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

by AI Generated Robotic ContentFAANG January 8, 2025Comments are Disabled

Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. As these advanced systems accelerate in playing a critical role in decision-making processes and customer interactions, customers should work towards ensuring the reliability, fairness, and compliance of generative AI applications with industry regulations. To address this …

Supervised Fine Tuning for Gemini: A best practices guide

by AI Generated Robotic ContentFAANG January 8, 2025Comments are Disabled

Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning (SFT) comes in. When done right, it unlocks incredible precision to tailor Gemini for specialized tasks, domains, and …