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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Journey to AI blog

Monitoring and optimizing application performance is important for software developers and enterprises at large. Yet, this data isn’t worth much without the right tools for monitoring, optimizing, storing and—crucially—putting the data into context. What is OpenTelemetry? What is OpenTelemetry?

DevOps 208
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How to Optimize GPU Usage During Model Training With neptune.ai

The MLOps Blog

Strategies for improving GPU usage include mixed-precision training, optimizing data transfer and processing, and appropriately dividing workloads between CPU and GPU. Strategies for improving GPU usage include mixed-precision training, optimizing data transfer and processing, and appropriately dividing workloads between CPU and GPU.

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Optimize generative AI workloads for environmental sustainability

AWS Machine Learning Blog

Generative AI problem framing When framing your generative AI problem, consider the following: Align your use of generative AI with your sustainability goals – When scoping your project, be sure to take sustainability into account: What are the trade-offs between a generative AI solution and a less resource-intensive traditional approach?

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Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

AWS Machine Learning Blog

In this blog post, AWS collaborates with Meta’s PyTorch team to discuss how to use the PyTorch FSDP library to achieve linear scaling of deep learning models on AWS seamlessly using Amazon EKS and AWS Deep Learning Containers (DLCs). This post demonstrates how you can use PyTorch FSDP to fine-tune the Llama2 model using Amazon EKS.

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Deploying Large NLP Models: Infrastructure Cost Optimization

The MLOps Blog

This article aims to provide some strategies, tips, and tricks you can apply to optimize your infrastructure while deploying them. Models like for example ChatGPT, Gopher **(280B), GPT-3 (175B), Jurassic-1 (178B), and Megatron-Turing NLG (530B) are predominantly very large and often addressed as large language models or LLMs. Sure there is.

NLP 115
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Tracking LangChain Projects with Comet

Heartbeat

Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? The advent of Large Language Models (LLMs) has changed the Artificial Intelligence (AI) landscape. During this language revolution, LangChain has been the pioneer in constructing production-grade LLM-based applications.

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Transform customer engagement with no-code LLM fine-tuning using Amazon SageMaker Canvas and SageMaker JumpStart

AWS Machine Learning Blog

It works both with SageMaker JumpStart and Amazon Bedrock models, giving you the flexibility to choose the foundation model (FM) for your needs. It works both with SageMaker JumpStart and Amazon Bedrock models, giving you the flexibility to choose the foundation model (FM) for your needs.

LLM 96