LLms

15 Security Risks in Large Language Models (LLMs)

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Large Language Models have emerged as transformative tools across industries, revolutionizing applications from customer support to healthcare. However, with great power comes significant security challenges. Addressing these risks is critical to ensure safe and reliable deployment. Why Security Matters As LLMs integrate into sensitive and critical systems, their vulnerabilities can have far-reaching consequences. Here are … Read more

6 Ways to Prevent Hallucinations in Large Language Models (LLMs)

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What Are Hallucinations? When AI systems produce information that sounds plausible but lacks any grounding in reality, it is referred to as hallucination. Hallucinations in AI occur when models generate outputs that seem correct but lack a factual basis. These errors often stem from factors such as overfitting, biased or inaccurate training data, and the … Read more

Mastering Advanced Fine-Tuning Techniques for Unleashing Large Language Models (LLMs)

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Fine-tuning is essential for adapting large language models (LLMs) like GPT and BERT to perform specialized tasks. While general-purpose models excel at handling a variety of text, they often need refinement to be effective in niche areas such as legal analysis, medical research, or customer service. In this article, we’ll explore popular fine-tuning techniques, their … Read more