AI security blog

A deep dive into prompt engineering techniques that improve how large language models reason, respond, and stay secure.

Discover the top 11 open-source Large Language Models (LLMs) that are shaping the landscape of AI. Explore their features, benefits, and challenges in this comprehensive guide to stay updated on the latest developments in the world of language technology.

As LLMs gain traction across domains, hallucinations—distortions in LLM output—pose risks of misinformation and exposure of confidential data. Delve into the causes of hallucinations and explore best practices for their mitigation.

Learn what is LLM evaluation and why is it important. Explore 7 effective methods, best practices, and evolving frameworks for assessing LLMs' performance and impact across industries.

What does LLM jailbreaking really means, and what are its consequences? Explore different jailbreaking techniques, real-world examples, and learn how to secure your AI applications against this vulnerability.

Foundation models have taken center stage in conversations, signifying a significant transformation in the field of machine learning approaches. Gain insights into their functioning, practical applications, constraints, and the hurdles involved in adopting them to your specific use case.