Auto-complete Large Language Models UX Design 
AWS Machine Learning Blog
MARCH 19, 2025
In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the models own knowledge or context that it is provided. If the model selects a tool, there will be a tool block and text block.
Google Research AI blog
JUNE 6, 2023
We fine-tuned a large language model to proactively suggest relevant visuals in open-vocabulary conversations using a dataset we curated for this purpose. We open sourced Visual Captions as part of the ARChat project, which is designed for rapid prototyping of augmented communication with real-time transcription.
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AWS Machine Learning Blog
MAY 7, 2024
The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. You can find other Hugging Face models that are better suited for other languages.
Topbots
JUNE 29, 2023
In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 3] provides a more complete survey of Text2SQL data augmentation techniques.
AWS Machine Learning Blog
FEBRUARY 3, 2025
Not only are large language models (LLMs) capable of answering a users question based on the transcript of the file, they are also capable of identifying the timestamp (or timestamps) of the transcript during which the answer was discussed. The process takes approximately 20 minutes to complete.
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