6 new conversations with global leaders on AI and society
Favorite Our new limited-series podcast explores AI’s impact on policy, the economy, science, democracy, sustainability, and more. View Original Source (blog.google/technology/ai/) Here.
Build an active learning pipeline for automatic annotation of images with AWS services
Favorite This blog post is co-written with Caroline Chung from Veoneer. Veoneer is a global automotive electronics company and a world leader in automotive electronic safety systems. They offer best-in-class restraint control systems and have delivered over 1 billion electronic control units and crash sensors to car manufacturers globally. The
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Shared by AWS Machine Learning April 11, 2024
Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results
Favorite 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
Read More Shared by AWS Machine Learning April 10, 2024
Submit your proposal for All Things Open – Doing Business with Open Source
Favorite The supply-side value of widely-used Open Source software is estimated to be worth $4.15 billion, and the demand-side value is much larger, at $8.8 trillion. And yet, maintaining a healthy business while producing Open Source software feels more like an art than a science. The Open Source Initiative wants
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Shared by voicesofopensource April 9, 2024
Compelling responses to NTIA’s AI Open Model Weights RFC
Favorite The National Telecommunications and Information Administration (NTIA) posted a request for comments on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights, and it has received 362 comments. In addition to the Open Source Initiative’s (OSI) joint letter drafted by Mozilla and the Center for Democracy and
Read More Shared by voicesofopensource April 9, 2024
How 7 businesses are putting Google Cloud’s AI innovations to work
Favorite Discover how companies are using AI technologies to fuel innovation, create new customer experiences and develop better tools for employees. View Original Source (blog.google/technology/ai/) Here.
Cloud Next 2024: More momentum with generative AI
Favorite Google and Alphabet CEO Sundar Pichai shares new generative AI capabilities for organizations, announced at Cloud Next 2024. View Original Source (blog.google/technology/ai/) Here.
Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers
Favorite 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
Read More Shared by AWS Machine Learning April 9, 2024
Use everyday language to search and retrieve data with Mixtral 8x7B on Amazon SageMaker JumpStart
Favorite 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
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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat
Favorite 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
Read More Shared by AWS Machine Learning April 9, 2024