Tag: Jumpstart
Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering | Amazon Web Services
The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume...
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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services
Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications,...
Solar models from Upstage are now available in Amazon SageMaker JumpStart | Amazon Web Services
This blog post is co-written with Hwalsuk Lee at Upstage.
Today, we’re excited to announce that the...
SBF Sentenced to 25 Years in Prison | Key Points | Mar. 29, 2024 | BitPinas
Welcome to BitPinas Key Points: Easily digestible news in concise formats for easy reading. Let’s check the latest crypto news stories in the last 24 hours...
Advanced RAG patterns on Amazon SageMaker | Amazon Web Services
Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...
Is Nigeria Strong-Arming Binance?
Of course, Nigeria might do well to welcome the crypto industry to the country, which will help jumpstart a financial services industry and contribute...
Fine-tune Code Llama on Amazon SageMaker JumpStart | Amazon Web Services
Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The Code Llama family of...
Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI | Amazon Web Services
In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru...
Enable data sharing through federated learning: A policy approach for chief digital officers | Amazon Web Services
This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc.
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Best practices to build generative AI applications on AWS | Amazon Web Services
Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However,...
Gemma is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...
Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services
AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...