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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). This could redefine how knowledge transfer and innovation occur.

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The Hidden Influence of Data Contamination on Large Language Models

Unite.AI

Data contamination in Large Language Models (LLMs) is a significant concern that can impact their performance on various tasks. What Are Large Language Models? LLMs have gained significant popularity and are widely used in various applications, including natural language processing and machine translation.

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John Snow Labs Announces Program for the 2023 NLP Summit, the World’s Largest Gathering on Applied Natural Language Processing

John Snow Labs

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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A Guide to Mastering Large Language Models

Unite.AI

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. What are Large Language Models and Why are They Important? Responsible AI tooling remains an active area of innovation.

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Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

ODSC - Open Data Science

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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8 Trending and New Large Language Models to Keep an Eye On

ODSC - Open Data Science

We’re hearing a lot about large language models, or LLMs recently in the news. Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. LLaMA was trained on publicly available datasets.

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10 Datasets for Fine-Tuning Large Language Models

ODSC - Open Data Science

Large language models have taken the world by storm, offering impressive capabilities in natural language processing. However, while these models are powerful, they can often benefit from fine-tuning or additional training to optimize performance for specific tasks or domains.