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How Does Synthetic Data Impact AI Hallucinations?

Unite.AI

To create an artificial dataset, AI engineers train a generative algorithm on a real relational database. For example, a large language model might write a how-to article on domesticating lions or becoming a doctor at age 6. Bias Amplification Like humans, AI can learn and reproduce biases.

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5 Common Mistakes to Avoid When Training LLMs

Machine Learning Mastery

Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise. This article aims to identify five common mistakes to avoid when training […]

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Meet MiniChain: A Tiny Python Library for Coding with Large Language Models

Marktechpost

Amidst the dynamic evolution of advanced large language models (LLMs), developers seek streamlined methods to string prompts together effectively, giving rise to sophisticated AI assistants, search engines, and more. If you like our work, you will love our newsletter.

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TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

Unite.AI

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. This comprehensive guide will explore all aspects of TensorRT-LLM, from its architecture and key features to practical examples for deploying models.

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Design Patterns in Python for AI and LLM Engineers: A Practical Guide

Unite.AI

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently.

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Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023…

ODSC - Open Data Science

Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.

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AI’s Trillion-Dollar Problem

Unite.AI

LLMs Differentiation Problem Adding to this structural challenge is a concerning trend: the rapid convergence of large language model (LLM) capabilities. Having invested hundreds of billions in AI initiatives, these companies require thousands of specialized AI engineers and researchers.