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Build Production-Grade LLM-Powered Applications with PydanticAI

Analytics Vidhya

In the rapidly evolving landscape of software development, the intersection of artificial intelligence, data validation, and database management has opened up unprecedented possibilities.

LLM 208
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Shielding Prompts from LLM Data Leaks

Unite.AI

It proposes a system that can automatically intervene to protect users from submitting personal or sensitive information into a message when they are having a conversation with a Large Language Model (LLM) such as ChatGPT. Remember Me? Three IBM-based reformulations that balance utility against data privacy.

LLM 199
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Base LLM vs Instruction-Tuned LLM

Analytics Vidhya

Language models are essential for understanding and producing human language by machines in the quickly developing field of artificial intelligence. Among these models, two different methods of language processing are represented by Base LLM and Instruction-Tuned LLM.

LLM 133
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LLM-as-a-Judge: A Scalable Solution for Evaluating Language Models Using Language Models

Unite.AI

The LLM-as-a-Judge framework is a scalable, automated alternative to human evaluations, which are often costly, slow, and limited by the volume of responses they can feasibly assess. Here, the LLM-as-a-Judge approach stands out: it allows for nuanced evaluations on complex qualities like tone, helpfulness, and conversational coherence.

LLM 176
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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?

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No Experience? Here’s How You Can Transform Into an Ethical Artificial Intelligence Developer

Unite.AI

There are countless routes to becoming an artificial intelligence (AI) expert, and each persons journey will be shaped by unique experiences, setbacks, and growth. Yet, like a river moving through diverse terrains, LLMs can absorb impurities as they goimpurities in the form of biases and stereotypes embedded in their training data.

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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency.

LLM 329