AI

Leveraging qLoRA for Fine-Tuning of Task-Fine-Tuned Models Without Catastrophic Forgetting: A Case Study with LLaMA2(-chat) | by Aris Tsakpinis | Sep, 2023

Learn how to infuse knowledge into purpose-fine-tuned models while keeping their task-specific nature Photo by StableDiffusionXL on Amazon Web Services

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Compare Top 20+ AI Governance Tools: A Vendor Benchmark

According to AI stats, 90% of commercial apps are expected to leverage AI by the end of 2025. Despite the increasing

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Pearson, Spearman and Kendall Correlation Coefficients, by Hand | by Antoine Soetewey | Sep, 2023

In statistics, a correlation is used to evaluate the relationship between two variables. In a previous post, we showed how

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What’s New in Pandas 2.1 | by Patrick Hoefler | Sep, 2023

The most interesting things about the new release Photo by Lukas W. on Unsplash pandas 2.1 was released on August

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From Text to Tokens: How BERT’s tokenizer, WordPiece, works.

From Text to Tokens: Your Step-by-Step Guide to BERT Tokenization Photo by Glen Carrie on Unsplash Did you know that

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Effective Load Balancing with Ray on Amazon SageMaker | by Chaim Rand | Sep, 2023

A method for increasing DNN training efficiency and reducing training costs Photo by Fineas Anton on Unsplash In previous posts

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Machine Learning with Expert Models: A Primer | by Samuel Flender | Sep, 2023

How a decades-old idea enables training outrageously large neural networks today (Pexels) Expert models are one of the most useful

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CRM Pricing Guide in 2023

Understanding the cost of Customer Relationship Management (CRM) software is a critical factor in the decision-making process for most businesses.

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A Guide to Real-World Data Collection for Machine Learning | by Leah Berg and Ray McLendon | Sep, 2023

5 Actionable Strategies to Optimize Your Data Collection Process Photo by Henrik Dønnestad on Unsplash Whether you’re brand new to

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