Flipboard

APRIL 24, 2025

Data across these domains is often maintained across disparate data environments (such as Amazon Aurora , Oracle, and Teradata), with each managing hundreds or perhaps thousands of tables to represent and persist business data. As a result, NL2SQL solutions for enterprise data are often incomplete or inaccurate.

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SQL Database AWS ML 149

AWS Machine Learning Blog

JULY 15, 2025

Figure 3: The Dynamo Planner combines prefill and decode specific metrics with SLAs to scale GPUs up and down in disaggregated setups, which ensures optimal GPU utilization. This post is co-written with Kshitiz Gupta, Wenhan Tan, Arun Raman, Jiahong Liu, and Eiluth Triana Isaza from NVIDIA.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

The demo implementation code is available in the following GitHub repo. It enables high-performance text generation using tensor parallelism, model parallelism, and dynamic batching supporting some leading open-source LLMs such as Falcon and Llama V2, as well as VLMs like IDEFICS.

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AWS Clustering Deep Learning Deep Learning 121

Chatbots Life

MAY 27, 2024

In a conversational AI-enabled voice bot, in case of obtaining data from a database or requesting information from LLM models like ChatGPT, Claude, Gemini, or LLaMA, there’s inevitably a delay while waiting for updates or responses, often leading to an awkward pause in the interaction. How do we add audio until we get the response?

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Database AI AI 65