Ich finds ja toll das viele beim #diday auch gleich #WhatsApp den Rücken kehren.
Aber mit #Signal ist das noch lange kein #unplugtrump
#signal nutzt den #AWS (#AmazonWebService)
Dieser ist am 20.10.2025 noch ausgefallen
🐝 Nachtrag weil das Stichwort redundante Kommunikationswege gefallen ist.
Dafür wird gerade das #Reticulum Netzwerk aufgebaut.
Das funktioniert nicht nur über das #Internet sondern auch über #LoRa etc.
Zum Beispiel mit #Sideband
👇
This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) software and applications focused on sales, customer service, marketing automation, […]
Today, we are excited to announce AWS Trainium and AWS Inferentia support for fine-tuning and inference of the Llama 3.1 models. The Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction tuned generative models in 8B, 70B, and 405B sizes. In a previous post, we covered how to deploy Llama 3 models on AWS Trainium and Inferentia based instances in Amazon SageMaker JumpStart. In this post, we outline how to get started with fine-tuning and deploying the Llama 3.1 family of models on AWS AI chips, to realize their price-performance benefits.
As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time consuming, inconsistent, and not readily accessible. This post shows how to […]
Edgecontrol🍉🛹
maexchen1
Luis Carrillo
iamSK
Andreas Wittig
Craig Brown, PhD
ENTER.CO