BAIR

APRIL 6, 2023

Other industrial deployments of robot fleets include applications like e-commerce order fulfillment at Amazon and Ambi Robotics as well as food delivery at Nuro and Kiwibot. Despite this growing trend in industry, however, there has been comparatively little focus on this topic in academia.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence Supervised Learning 98

AssemblyAI

MARCH 21, 2023

This article will recap on some highly impactful applications of GNNs, the first article in a series that will take a deep dive into Graph Machine Learning, giving you everything you need to know to get up to speed on the next big wave in AI. What are the actual advantages of Graph Machine Learning?

AI 126

AI AI Deep Learning Deep Learning 126

AWS Machine Learning Blog

MARCH 14, 2024

Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval. Text data requires unique processing steps that chunk (or segment) long documents into parts digestible by the LLM, while maintaining topic coherence.

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SQL AWS AI AI 97

ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. Now 2 days, the Ai X Summit brings together industry leaders and pioneers at the forefront of AI applications and innovation from across the country for panels and talks.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

Heartbeat

NOVEMBER 8, 2023

In this guide, we’ll delve deep into the world of LangChain, exploring its core concepts, foundational chain types, and practical applications. From breaking down complex tasks into manageable steps to maintaining context across multiple calls, LangChain offers a robust framework for building sophisticated language applications.

Data Scientist 52

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Hacker News

JANUARY 9, 2024

And we continue to innovate in these areas, broadening the delivery of what we’ve built in new and different ways, and through new and different channels. One unexpected application of LLMs for us has been in suggesting names of functions. But the more “permanent” use of LLM results tends to be “offline”. Where should you land?

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