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30+ LLM Interview Questions and Answers

Analytics Vidhya

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. These complex algorithms enhance human capabilities and promote efficiency and creativity across various sectors.

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Will LLM and Generative AI Solve a 20-Year-Old Problem in Application Security?

Unite.AI

However, a promising new technology, Generative AI (GenAI), is poised to revolutionize the field. This necessitates a paradigm shift in security approaches, and Generative AI holds a possible key to tackling these challenges. The modern LLMs are trained on millions of examples from big code repositories, (e.g.,

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Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks

Flipboard

Foundation models (FMs) and generative AI are transforming enterprise operations across industries. McKinsey & Companys recent research estimates generative AI could contribute up to $4.4 McKinsey & Companys recent research estimates generative AI could contribute up to $4.4

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With generative AI, don’t believe the hype (or the anti-hype)

IBM Journey to AI blog

No technology in human history has seen as much interest in such a short time as generative AI (gen AI). Many leading tech companies are pouring billions of dollars into training large language models (LLMs). How might generative AI achieve this? But can this technology justify the investment?

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Databricks acquires LLM pioneer MosaicML for $1.3B

AI News

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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From Concept to Code: Unveiling the ChatGPT Algorithm

Towards AI

For the past two years, ChatGPT and Large Language Models (LLMs) in general have been the big thing in artificial intelligence. Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In

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LLM Routing: Strategies, Techniques, and Python Implementation

Analytics Vidhya

For example, some LLMs excel at generating creative content, while others are better at factual accuracy or specific domain expertise.

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