Hi everyone! I’m happy to be part of the new moderation team within this dynamic community. Huge thanks to u/mcmonkey4eva and u/SandCheezy for their amazing work so far. The new mod team is here to support them in keeping this space safe, welcoming, and enjoyable for everyone. We’ve updated the rules based on community feedback …
Predictive modeling in finance uses historical data to forecast future trends and outcomes. R, a powerful statistical programming language, provides a robust set of tools and libraries for financial analysis and modeling. This article explores the key techniques and packages in R that are commonly used for predictive modeling in finance. We’ll cover time series …
Don’t Miss Out on ROI of Conversational AI — Your Secret Weapon for Profitability Contact centers are in crisis. Skyrocketing customer expectations were coupled with relentless cost pressures. It all has created a perfect storm. 71% of consumers expect companies to deliver personalized interactions, and 76% of them get frustrated when it doesn’t happen. Agents are overwhelmed: …
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In this paper, we propose an algorithm to optimize a byte-level representation for end-to-end (E2E) automatic speech recognition (ASR). Byte-level representation is often used by large scale multilingual ASR systems when the character set of the supported languages is large. The compactness and universality of byte-level representation allow the ASR models to use smaller output …
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With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. This includes Meta Llama 3, Meta’s publicly available large language model (LLM). The partnership between Meta and Amazon signifies collective generative AI innovation, and Meta and Amazon are working together …
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Who is supposed to manage generative AI applications? While AI-related ownership often lands with data teams, we’re seeing requirements specific to generative AI applications that have distinct differences from those of a data and AI team, and at times more similarities with a DevOps team. This blog post explores these similarities and differences, and considers …
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The HBO drama about the Machiavellian world of high finance is an undeniable hit—and cocreators Mickey Down and Konrad Kay say “coke and boats” is just the beginning.
In order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands of web sources. But as these datasets are combined and recombined into multiple collections, important information about their origins and restrictions on how they can be used are often lost or confounded in the shuffle.
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In recent years, machine learning has experienced a profound transformation with the emergence of LLMs and new techniques that improved the domain’s state of the art. Most of these advancements have mainly been initially revealed in research papers, which have introduced new techniques while reshaping our understanding and approach to the domain. The number of …
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