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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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6 key considerations for selecting an AI systems vendor

CIO

Many IT leaders are responding to C-suite pressure for artificial intelligence (AI) capabilities by increasing the organization’s AI investment in 2024. ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces. Maximize data storage AI workloads demand vast amounts of data.

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Inferencing holds the clues to AI puzzles

CIO

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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Making the shift from computation to cognition

CIO

Once perceived as an abstract concept, Artificial Intelligence (AI) and generative AI (genAI) have become more normalized as organizations look at ways to implement them into their tech stack. Instead, they need to take a step back and revisit their overall infrastructure, perhaps even take a new approach to computing.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. We invite you to explore the improved functionalities of this latest AMP.

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LLM Fine-tuning Challenge at NeurIPS

Xebia

LLM Fine-tuning NeurIPS 2023 featured a challenge to efficiently fine-tune open-source LLM models on public datasets. If you are considering fine-tuning LLMs, there are some things to consider: Infra, Data, Base Model, Training, Inference and Evaluation. To evaluate these models, the benchmarking tool HELM is used.