Category: FAANG

In today’s globalized marketplace, finding and understanding reviews in a customer’s preferred language across multiple languages can be challenging. BigQuery is designed for managing and analyzing large datasets, including reviews. In this blog post, we present a solution that uses BigQuery multilingual embeddings, vector index and vector search, to let customers search for products or …

Read more “The new Tower of Babel? Using multilingual embeddings and vector search in BigQuery”

We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. What is Jamba-Instruct Jamba-Instruct is an instruction-tuned version of …

Read more “AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock”

This post is a continuation of Creating Natural Conversations with Amazon Lex QnAIntent and Amazon Bedrock Knowledge Base. In summary, we explored new capabilities available through Amazon Lex QnAIntent, powered by Amazon Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, Amazon …

Read more “Implement exact match with Amazon Lex QnAIntent”

Insights from Product Reliability Engineers Intro Palantir’s platforms (AIP, Foundry, Gotham, Apollo) underpin mission-critical workflows throughout the world, whether it’s facilitating the resettling of over 100,000 refugees fleeing the war in Ukraine or reducing waiting times for life-saving cancer care. The Product Reliability Incident Management team’s core mandate is to address the highest-priority issues across …

Read more “Product Reliability Incident Management at Palantir”

Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). A private hub is a feature in SageMaker JumpStart that allows an organization to share their models and notebooks so as to centralize model artifacts, facilitate discoverability, and increase the reuse …

Read more “Manage Amazon SageMaker JumpStart foundation model access with private hubs”