How to Safeguard Against Large Language Model Hallucinations
Explore the causes of LLM hallucinations and discover four practical strategies to safeguard your AI applications from misinformation, ensuring more accurate and reliable outputs.
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Large Language Models: What are the Dangers of User Prompts?
Learn how malicious user prompts can exploit large language models (LLMs) through prompt injection, and discover best practices to defend your AI systems.
Large Language Models: How to Sanitise User Input
Discover how to defend Large Language Models against prompt injection using layered strategies like input sanitisation, output moderation, and the Swiss Cheese Model.
What is a Large Language Model (LLM)?
A comprehensive guide to understanding what large language models are, how they work, and why they matter for business.
Why Should Your Business Implement an LLM?
Discover the key business benefits of implementing large language models and how they can drive efficiency and innovation.
System Prompts vs User Prompts: What's the Difference?
Understand the distinction between system and user prompts in LLMs and how to use each effectively for better AI outcomes.
How to Write a Strategic System Prompt
Learn the art of crafting effective system prompts that guide LLM behaviour and ensure consistent, high-quality outputs.
Why Choose Praelexis for Your LLM Implementation?
Discover what makes Praelexis the right partner for implementing large language model solutions in your business.
A Deep Dive into LLM Hallucinations and Mitigation Strategies
An in-depth exploration of why LLMs hallucinate and the comprehensive strategies available to mitigate these risks.