ML16564 blogvideo

Search enterprise data assets using LLMs backed by knowledge graphs

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in modern big data management must facilitate efficient and accurate search of …

Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?

This paper was accepted at the Ninth Conference on Machine Translation (WMT24) at EMNLP 2024. The prosody of a spoken utterance, including features like stress, intonation and rhythm, can significantly affect the underlying semantics, and as a consequence can also affect its textual translation. Nevertheless, prosody is rarely studied within the context of speech-to-text translation …

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Ethical AI in Defense Decision Support Systems

Ethical AI in Defense Decision Support Systems (Defense AI Ethics, #2) Editors Note: In a previous post in our series on ethical defense and AI, we examined the ethical implications of technology providers in the defense domain. In this post, we delve into Palantir’s work on Decision Support Systems and how it reinforces critical military ethics …

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Unleash your Salesforce data using the Amazon Q Salesforce Online connector

Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer service, and other business operations. The Salesforce cloud-based platform centralizes customer information and interactions across the organization, providing sales reps, marketers, and support agents with a unified 360-degree view of each customer. With Salesforce at the heart of their business, companies accumulate vast …

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Deploy Meta Llama 3.1 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

We’re excited to announce the availability of Meta Llama 3.1 8B and 70B inference support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. Meta Llama 3.1 multilingual large language models (LLMs) are a collection of pre-trained and instruction tuned generative models. Trainium and Inferentia, enabled by the AWS Neuron software development kit …

Multimodal Autoregressive Pre-Training of Large Vision Encoders

*Equal Contributors A dominant paradigm in large multimodal models is to pair a large language de- coder with a vision encoder. While it is well-known how to pre-train and tune language decoders for multimodal tasks, it is less clear how the vision encoder should be pre-trained. A de facto standard is to pre-train the vision …

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Accelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA

Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. However, building or fine-tuning these pre-trained LLMs on extensive datasets demands substantial computational resources and engineering effort. With the increase in sizes of these pre-trained LLMs, the model customization process …

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Boost your Continuous Delivery pipeline with Generative AI

In the domain of software development, AI-driven assistance is emerging as a transformative force to enhance developer experience and productivity and ultimately optimize overall software delivery performance. Many organizations started to leverage AI-based assistants, such as Gemini Code Assist, in developer IDEs to support them in solving more difficult problems, understanding unfamiliar code, generating test …

Instance-Optimal Private Density Estimation in the Wasserstein Distance

Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein distance is an appropriate error metric for density estimation. For example, when estimating population densities in a geographic region, a small Wasserstein distance means that the estimate is able to capture roughly where the population …