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AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

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MetaGPT: Complete Guide to the Best AI Agent Available Right Now

Unite.AI

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks.

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Evaluate large language models for your machine translation tasks on AWS

AWS Machine Learning Blog

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. When the indexing is complete, select the created index from the index dropdown.

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Just Calm Down About GPT-4 Already

Flipboard

And so it is with the current shock and awe over large language models, such as GPT-4 from OpenAI. It gives an answer with complete confidence, and I sort of believe it. And half the time, it’s completely wrong.” The large language models are a little surprising. Rodney Brooks, Robust.AI

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Scott Stevenson, Co-Founder & CEO of Spellbook – Interview Series

Unite.AI

Scott Stevenson, is Co-Founder & CEO of Spellbook , a tool to automate legal work that is built on OpenAI's GPT-4 and other large language models (LLMs). Spellbook is further tuning the model using proprietary legal datasets. How does Spellbook suggest language for legal contracts?