Today, we’re excited to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia based instances in Amazon SageMaker JumpStart. The Meta Llama 3 models are a collection of pre-trained and fine-tuned generative text models. Amazon Elastic Compute Cloud (Amazon EC2) Trn1 and Inf2 instances, powered by AWS Trainium and AWS …
As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. With great power comes responsibility, and organizations want to make sure that these LLMs produce responses that align with …
As companies race to build or modernize intelligent apps that incorporate generative AI, many are finding gaps in their tech-stack modernization efforts as they explore and test use cases. Recently, Microsoft commissioned Forrester Consulting to evaluate modernization efforts at global organizations. The study found that nearly 90% of decision makers said they have a modern …
Personalized customer experiences are essential for engaging today’s users. However, delivering truly personalized experiences that adapt to changes in user behavior can be both challenging and time-consuming. Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. With …
Innovate. Connect. Cultivate. The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe. Once known for its dominance in the coal, steel, and manufacturing industries, the American Rust Belt is entering a new era of innovation. Thousands of startups, a focus on homegrown talent, and a rich culture …
Cloud Cultures, Part 8: Recapturing the entrepreneurial spirit in the American Rust Belt Read More »
Embeddings are integral to various natural language processing (NLP) applications, and their quality is crucial for optimal performance. They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant passages from a corpus to provide …
Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. Llama2 by Meta is an example of an LLM offered by AWS. Llama …
Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker Read More »
Imagine harnessing the power of advanced language models to understand and respond to your customers’ inquiries. Amazon Bedrock, a fully managed service providing access to such models, makes this possible. Fine-tuning large language models (LLMs) on domain-specific data supercharges tasks like answering product questions or generating relevant content. In this post, we show how Amazon …
Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock Read More »
Organizations often offer support in multiple languages, saying “contact us for translations.” However, customers who don’t speak the predominant language often don’t know that translations are available or how to request them. This can lead to poor customer experience and lost business. A better approach is proactively providing information in multiple languages so customers can …
Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. Amazon Bedrock is a fully managed service that offers a choice …
