Tenzai Systems’ Post

Debunking Myths and Ensuring Data Security with LLMs 🤖🔐 Large Language Models (LLMs) are transforming AI, but misconceptions and security risks persist. 🧐 1. Myth: LLMs store text. Reality: LLMs use parameters, not text, to generate responses. 2. Myth: Prompts always control outputs. Reality: Without proper guardrails, LLMs can still produce unpredictable content. 3. Security Risk: Input manipulation. Solution: Implement input validation to avoid adversarial attacks. 4. Risk: Mistakes and hallucinations. Solution: Use output filters to detect errors and bias. To maximize LLM potential, focus on secure inputs, output filtering, and continuous audits. Build ethical, responsible AI! #AI #DataSecurity #LLMs #EthicalAI #TechTrends https://lnkd.in/g5qrRcpu

This joint Microsoft and OpenAI research study outlines how five known nation state actors were using large language models (LLMs) to enhance their operations. Get details: https://msft.it/6043mLzuD #SecurityInsider #ThreatIntelligence

In a special report produced by #ForeignPolicyAnalytics with financial support from Microsoft, researchers examine #cyber deterrence #strategies for #NATO in the age of #AI, bringing sharpened focus on the #risks of, and responses to, hybrid #warfare. Focusing on the most destructive #cyberattacks, the analysis identifies critical deterrence gaps and presents cross-sectoral recommendations to deterrence stakeholders including member states and private industry.

A new paper by Alan Aqrawi and Arian Abbasi, published on TechRxiv, uncovers vulnerabilities in GPT o1 (Strawberry) models to the Single-Turn Crescendo Attack (STCA-4). The research demonstrates how these models can generate disallowed content, such as hate speech, when subjected to adversarial prompts, while more robust models like Gemini 1.5 Flash and LLaMA 3 8B resisted similar attacks. This study highlights the need for stronger safeguards in large language models to counter multi-turn escalations condensed into a single prompt. #RedTeaming #ResponsibleAI https://lnkd.in/gikwnj4c

I’ve earned the Prompt Development and Design Badge! 🚀 This achievement reflects my dedication to mastering the art of crafting engaging and effective AI prompts. Excited to leverage this skill in creating innovative AI solutions and exploring new frontiers in the field. 🌟 Let’s keep pushing the boundaries of what’s possible! #AI #PromptDesign #Innovation #codesignal #imagetovideo #imageprocessing #videogenerting

While watching the resignations and messages from the OpenAI executives, I feel that they are so close to, or have already reached the RSI-LLM, which is the model that cause the technological singularity in my paper "Large Language Models: Asseessment for Singularity". https://lnkd.in/gdDEa3u7 I hope RSI-LLM will be created in the safe, secure way.

10 years ago, a film called Her told the story of a lonely writer who falls in love with an AI voice assistant on his phone. AI was witty, empathetic, and always available, gradually becoming an indispensable part of the protagonist's life. 10 years later, at OpenAI’s Spring Release event, we witnessed the arrival of the new GPT-4o model, making Samantha a reality. This upgraded version of ChatGPT can not only chat with you naturally, just like Samantha, but it can also observe and understand your emotions through your phone’s camera 👏🏼 #OpenAI #ChatGBT #GBT4

Are you intrigued by the magic of LLMOps? Let's explore its power and find out how it is revolutionizing businesses in today’s fast-paced world. LLMOps, or Large Language Model Operations, is the powerhouse behind the scenes that propels our language models to new heights. It's the key to handling vast datasets and unlocking unparalleled linguistic sophistication! In an era where advanced technology shapes our every interaction, LLMOps stands out as a pivotal force. From enhancing natural language understanding to supercharging scalability, LLMOps ensures our language models perform at their best, delivering results that go beyond expectations. Ready to elevate your language AI game? Let's embark on the LLMOps adventure together! #Mobiz #LLMOps #LanguageAI #BusinessInnovation #BusinessTransformation #AIInnovation

Excited to speak about AI/LLM vulnerabilities in these upcoming sessions. If you are interested in AI Pentesting or concerned about AI Security - this is for you! I know these sessions are very early in the morning for people in the Americas but I will make it worth your time :) #ai #llm #security #penetrationtesting

John, you make an intriguing point about the potential benefits of smaller AI models like Microsoft's Orca 2 and Phi 2, or Meta's LLaMA family. While LLMs like ChatGPT, Gemini and Bard have garnered significant attention, there is growing interest in exploring the advantages that SLMs may offer. Some potential benefits of SLMs include: 1. Efficiency: Smaller models generally require less computational power and memory, making them more efficient to run and deploy, especially on edge devices or resource-constrained environments. 2. Accessibility: With smaller model sizes, SLMs can potentially be more accessible to a broader range of users, including those with limited hardware or bandwidth capabilities. 3. Customization: The smaller architectures of SLMs may make them more amenable to fine-tuning and customization for specific tasks or domains, potentially improving performance and accuracy in targeted areas. 4. Privacy and Security: Smaller models may offer enhanced privacy and security benefits, as they can be deployed locally without the need to send data to remote servers, reducing potential vulnerabilities and data exposure risks. However, it's important to note that SLMs may also have limitations compared to their larger counterparts, such as reduced overall performance or the inability to handle certain complex tasks as effectively. Ultimately, the choice between SLMs and LLMs will likely depend on the specific use case, performance requirements, and resource constraints. As the field of AI continues to evolve, it will be fascinating to see how the exploration of both large and small language models progresses, and how these technologies can be leveraged to enhance various applications and services. John, I appreciate you bringing this intriguing topic to the discussion, as it highlights the ongoing innovation and exploration in the field of AI, and the potential for diverse approaches to address different challenges and requirements.