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Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart 

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the time it takes to generate a single token, and throughput, defined by the number of tokens generated per second. Although a single request to the deployed endpoint would exhibit a throughput …

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Researchers harness large language models to accelerate materials discovery

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Princeton researchers have created an artificial intelligence (AI) tool to predict the behavior of crystalline materials, a key step in advancing technologies such as batteries and semiconductors. Although computer simulations are commonly used in crystal design, the new method relies on a large language model, similar to those that power text generators like ChatGPT.