Compliance Load Balancer Open Source 
AWS Machine Learning - AI
MARCH 13, 2025
When customers receive incoming calls at their call centers, MaestroQA employs its proprietary transcription technology, built by enhancing open source transcription models, to transcribe the conversations. A lending company uses MaestroQA to detect compliance risks on 100% of their conversations.
AWS Machine Learning - AI
NOVEMBER 7, 2024
Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API.
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AWS Machine Learning - AI
APRIL 29, 2025
In this post, we explore how AWS services can be seamlessly integrated with open source tools to help establish a robust red teaming mechanism within your organization. LangFuse , an open source tool, plays a key role in providing transparency by keeping an audit trail of model decisions.
d2iq
JULY 11, 2022
The common misconception of open-source Kubernetes is that it is free—but in reality, it has a lot of associated costs, including labor and potential business losses from wasted time, effort, and being late to market. Assembling and managing a Kubernetes platform requires highly skilled Kubernetes architects, engineers, and developers.
AWS Machine Learning - AI
MARCH 13, 2025
Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests. Simon Pagezy is a Cloud Partnership Manager at Hugging Face, dedicated to making cutting-edge machine learning accessible through open source and open science.
AWS Machine Learning - AI
APRIL 16, 2025
A solution for this is provided by an open source software tool called LoRAX that provides weight-swapping mechanisms for inference toward serving multiple variants of a base FM. The model card available with most open source models details the size of the model weights and other usage information.
CIO
AUGUST 14, 2024
Generative AI and the specific workloads needed for inference introduce more complexity to their supply chain and how they load balance compute and inference workloads across data center regions and different geographies,” says distinguished VP analyst at Gartner Jason Wong. That’s an industry-wide problem.
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