Category: FAANG

With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. This includes Meta Llama 3, Meta’s publicly available large language model (LLM). The partnership between Meta and Amazon signifies collective generative AI innovation, and Meta and Amazon are working together …

Read more “Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases”

Who is supposed to manage generative AI applications? While AI-related ownership often lands with data teams, we’re seeing requirements specific to generative AI applications that have distinct differences from those of a data and AI team, and at times more similarities with a DevOps team. This blog post explores these similarities and differences, and considers …

Read more “GenOps: learning from the world of microservices and traditional DevOps”

This post is co-written with Eliuth Triana, Abhishek Sawarkar, Jiahong Liu, Kshitiz Gupta, JR Morgan and Deepika Padmanabhan from NVIDIA.  At the 2024 NVIDIA GTC conference, we announced support for NVIDIA NIM Inference Microservices in Amazon SageMaker Inference. This integration allows you to deploy industry-leading large language models (LLMs) on SageMaker and optimize their performance and …

Read more “Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker”

Over the past few months, early users put Imagen 3 on Vertex AI through its paces and shared valuable insights with us. It’s clear that users want an AI model that generates stunning visuals and empowers your practical creative applications. We’ve used their feedback to identify three common themes: Demand for unparalleled quality across diverse …

Read more “A developer’s guide to getting started with Imagen 3 on Vertex AI”

As a customer service leader, you know how important it is to provide the best service when someone interacts with your call center. One bad experience for a customer will have far flung implications. In an ideal world, all your call center agents are perfectly trained, and your customers are always happy with their interactions. …

Read more “Top 10 Benefits of Integrating a Chatbot in Call Center”

By Jiangwei Pan, Gary Tang, Henry Wang, and Justin Basilico Introduction Our mission at Netflix is to entertain the world. Our personalization algorithms play a crucial role in delivering on this mission for all members by recommending the right shows, movies, and games at the right time. This goal extends beyond immediate engagement; we aim to …

Read more “Recommending for Long-Term Member Satisfaction at Netflix”

The number of generative artificial intelligence (AI) features is growing within software offerings, especially after market-leading foundational models (FMs) became consumable through an API using Amazon Bedrock. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and …

Read more “Implementing tenant isolation using Agents for Amazon Bedrock in a multi-tenant environment”

According to Google’s Data and AI Trends Report
2024, 84% of organizations believe that generative AI will expedite their access to insights, and notably 52% of non-technical users are already leveraging generative AI to extract valuable insights. With Google’s Data Cloud, we’re on a mission to bring our decades of research and investments in AI to …

Read more “Get started with the new generally available features of Gemini in BigQuery”