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AI Meets Spreadsheets: How Large Language Models are Getting Better at Data Analysis

Unite.AI

Today, enterprises need real-time data analysis, advanced analytics, and even predictive capabilities within the familiar spreadsheet format. Large Language Models (LLMs) , advanced AI models capable of understanding and generating human language, are changing this domain.

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A Comprehensive Guide on Langchain

Analytics Vidhya

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis.

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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. It refers to the presence of test data from downstream tasks in the training data of LLMs. What Are Large Language Models?

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Applying Large Language Models in Healthcare: Lessons from the Field

ODSC - Open Data Science

When it comes to deploying large language models (LLMs) in healthcare, precision is not just a goalits a necessity. Their work has set a gold standard for integrating advanced natural language processing (NLP ) into clinical settings. Peer-reviewed research to validate theoretical accuracy.

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Don’t Sleep on Your Database Infrastructure When Building Large Language Models or Generative AI

Unite.AI

This is doubly true for complex AI systems, such as large language models, that process extensive datasets for tasks like language processing, image recognition, and predictive analysis. Only then can we raise the potential of AI and large language model projects to breathtaking new heights.

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Salesforce Research Introduces AgentOhana: A Comprehensive Agent Data Collection and Training Pipeline for Large Language Model

Marktechpost

Integrating Large Language Models (LLMs) in autonomous agents promises to revolutionize how we approach complex tasks, from conversational AI to code generation. A significant challenge lies at the core of advancing independent agents: data’s vast and varied nature. Check out the Paper.

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning Blog

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. Continual Pre-Training of Large Language Models: How to (re) warm your model?