Whether you’re a new student, a thriving startup, or the largest enterprise, you have financial constraints, and you need to know what you’re spending, where it’s being spent, and how to plan. Nobody wants a surprise when it comes to the bill, and this is where Cost Management comes in. We’re always looking for ways …
With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. In this post, we discuss two new features of Knowledge Bases for …
Innovate, Connect, Cultivate The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe. Malaysia accelerates growth through digital transformation Amidst the swiftly changing digital landscape, Malaysia stands out as a dynamic force capturing global attention. This nation—enriched by its diverse population comprised of Malays, Indians, Chinese, and …
Cloud Cultures, Part 6: Accelerating collective growth in Malaysia Read More »
Google and Alphabet CEO Sundar Pichai shares new generative AI capabilities for organizations, announced at Cloud Next 2024.
Discover how companies are using AI technologies to fuel innovation, create new customer experiences and develop better tools for employees.
At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. For RAG-based applications, the accuracy of the generated responses from FMs …
Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems …
Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat Read More »
With the widespread adoption of generative artificial intelligence (AI) solutions, organizations are trying to use these technologies to make their teams more productive. One exciting use case is enabling natural language interactions with relational databases. Rather than writing complex SQL queries, you can describe in plain language what data you want to retrieve or manipulate. …
In January 2024, Amazon SageMaker launched a new version (0.26.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs). This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion …
OpenAI’s offerings—ChatGPT, Codex, Sora, and DALL-E—have caught the public’s imagination and opened doors to many opportunities for infusing AI into networks, systems, services, and applications. These cutting-edge AI technologies are now deeply integrated with Microsoft products including Bing, Windows, Office, and Microsoft Teams. Within Azure for Operators, we are taking advantage of the significant investments …
Empowering operators through generative AI technologies with Azure for Operators Read More »
