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What are Large Language Models (LLMs)? Applications and Types of LLMs

Marktechpost

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

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Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning Blog

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings.

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3 ways to upgrade continuous testing for generative AI

Flipboard

Generative AI, ChatGPT, and large language models (LLMs) like GitHub Copilot and other AI code-generation tools are changing software development …

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The Future of Software Engineering: LLMs and Beyond

Heartbeat

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems.

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Breaking Down the O’Reilly 2024 Tech Trends Report

Unite.AI

Prompt engineering revolves around the art and science of crafting effective prompts to elicit desired responses from AI models, especially large language models like GPT. This topic, which didn't even exist in 2022, has quickly gained traction, now garnering nearly as much attention as transformers.

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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning Blog

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance.

DevOps 88
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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

10CLOUDS Year Founded : 2009 HQ : Warsaw, Poland Team Size : 51–200 employees Clients : TrustStamp (Identity verification), Emergent Tech (G-Coin), AlephZero (Blockchain), Tapeke (BitCoin Software Development), Tagasauris (Crowdsourcing Software Development), CallerSmart.