Serving

The Case for Centralized AI Model Inference Serving

models proceed to extend in scope and accuracy, even tasks once dominated by traditional algorithms are step by step being replaced by Deep Learning models. Algorithmic pipelines — workflows that take an input, process...

Squeeze Beats launches LLM serving optimization solution ‘Matches on Chips’

Squeeze Beats (CEO Kim Hyeong-jun), a specialist in artificial intelligence (AI) lightweighting and optimization, announced on the third that it has launched 'Matches on Chips', a customized solution for serving large language models (LLM). Matches...

Optimizing LLM Deployment: vLLM PagedAttention and the Way forward for Efficient AI Serving

Large Language Models (LLMs) deploying on real-world applications presents unique challenges, particularly when it comes to computational resources, latency, and cost-effectiveness. On this comprehensive guide, we'll explore the landscape of LLM serving, with a...

How we built our machine learning pipeline to fight fraud at BlaBlaCar — Part 2 PART 2 — Our First Pipeline Get the infrastructure right Get examples...

Every time a member is publishing a visit or booking a ride, we compute a fraud rating using our business rules, a few of those rules are written by experts, others are leveraging machine...

Deploying LLMs On Amazon SageMaker With DJL Serving

Deploy BART on Amazon SageMaker Real-Time InferenceLarge Language Models (LLMs) and Generative AI proceed to take over the Machine Learning and general tech space in 2023. With the LLM expansion has come an influx...

A Framework for Constructing a Production-Ready Feature Engineering Pipeline Introduction Lessons: Data Source: Lesson 1: Batch Serving. Feature Stores. Feature Engineering Pipelines. Conclusion

Within the file, we have now the important entry point of the pipeline under the tactic.As you'll be able to see below, the run method follows on a high level the precise steps of...

Serving ML Models with TorchServe

An entire end-to-end example of serving an ML model for image classification taskWell, by following along this blog post we were capable of create a REST API endpoint to which we will send a...

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