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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

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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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

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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Handle Long Pause Between Bot Responses Using Dialogflow

Chatbots Life

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?