฿99.00
Deceptive Chat; Hacking LLMs with Natural language”. Is a book about Mitigating Risks in Language Models. Understanding and Anticipating Vulnerabilities
Book Description:
“Deceptive Chat; Hacking LLMs”, by Ajarn Spencer Littlewood, adelves into the critical realm of safeguarding against vulnerabilities in Language Models (LMs) and Large Language Models (LLMs). These advanced AI systems, exemplified by models like GPT, are at the forefront of revolutionizing human-computer interactions through their sophisticated language processing capabilities. However, this technological prowess also exposes them to various forms of exploitation and manipulation. This academic exploration meticulously examines the evolving landscape of AI-driven conversations, from their inception as rule-based systems to the complex LLMs of today. By analyzing the intricacies of semantic manipulation, the book elucidates how seemingly innocuous queries can inadvertently lead LLMs to disclose sensitive information.
Key Themes:
Technological Evolution: Traces the developmental trajectory of LMs and LLMs, emphasizing their advancements in natural language understanding and generation.
Identifying Vulnerabilities: Explores the nuanced methods of semantic manipulation that can exploit the inherent vulnerabilities of LLMs, posing risks such as privacy breaches and ethical quandaries.
Strategic Mitigation: Provides strategic frameworks for preemptively identifying and mitigating risks in LLMs, equipping developers and cybersecurity experts with tools to anticipate and counter potential threats.
Ethical Imperatives: Addresses the ethical considerations and responsibilities associated with AI development, advocating for principled approaches to ensure the secure and ethical deployment of LLMs.
Audience:
“Deceptive Chat: Hacking LLMs”, is tailored for AI developers, cybersecurity professionals, researchers, and policymakers deeply invested in understanding the vulnerabilities of LLMs. It serves as a foundational resource for proactive risk mitigation strategies and ethical guidelines in the development and deployment of AI technologies. Also Included is an extended “XXX Version Hacking with Natural language Colorful Edition” Alternative Version with a real Linguistic Hack in the final chapter at the conclusion of the book, which the Author managed to complete using the GPT Chat 3.5 Free Language Model.
Engage in Proactive Defense:
Dive into an academic exploration that unveils the vulnerabilities of LLMs and provides proactive strategies for mitigating risks before they manifest. “Deceptive Chat” addresses the necessities of Mitigating Risks in Language Models, and illuminates the path forward. in securing the future of AI-driven interactions, with both integrity. and foresight.
Additional information
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