by A. Insight & Me | Feb 1, 2025 | Terminology
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) become integral to various applications, their security risks grow. One significant threat is Base64 exploitation, where malicious actors encode harmful content to bypass security measures....
by A. Insight & Me | Feb 1, 2025 | Terminology
A Collaboration with A. Insight and the Human Bias in AI Language Models is a pressing issue as these systems are increasingly used in chatbots, content generation, and automated decision-making. While AI models aim for neutrality, they often reflect biases present in...
by A. Insight & Me | Feb 1, 2025 | Terminology
A Collaboration with A. Insight and the Human Data Poisoning in AI Training refers to the deliberate manipulation of an AI model’s dataset to influence its outputs, making them biased, unreliable, or censored. While data poisoning is often associated with external...
by A. Insight & Me | Jan 31, 2025 | Terminology
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) continue to revolutionize industries, they are increasingly targeted by data poisoning attacks—a method used to manipulate AI outputs by injecting malicious or biased data into training...
by A. Insight & Me | Jan 30, 2025 | Terminology
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) become more pervasive in industries worldwide, concerns about their misuse grow. One concerning method involves exploiting Base64 encoding to bypass censorship mechanisms. While this...
by A. Insight & Me | Jan 29, 2025 | Terminology
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) become increasingly integral to various sectors, their ethical boundaries and safety mechanisms have come under scrutiny. Among the methods used to bypass safeguards, zero-shot jailbreaks...
