Employees Enter Sensitive Data Into GenAI Prompts Too Often! https://
darkreading.com/threat-intelli
gence/employees-sensitive-data-genai-prompts
… #GenAI #GenerativeAI #prompt #tech #technology #AI #artificial_intelligence #LLMs #LLM #security #cybersecurity #privacy #employees
PROMPT ENGINEERING
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Employees Leak Sensitive Data Into GenAI Prompts Daily
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Students Learn Computer Basics and AI Prompting Skills
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• Many of these students had never even used a computer before. They spent the beginning of the program figuring out how to navigate a PC, setting up user accounts, being taught how to prompt. Makes the learning curve even more remarkable.
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Personalize ChatGPT with Custom Instructions Feature
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Make ChatGPT your own with new custom instructions:
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GPT-4o Advances Face Presentation Attack Detection Few-Shot Learning
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Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning The paper investigates GPT-4o for Face Presentation Attack Detection (PAD), showing strong performance in few-shot in-context learning, outperforming specialized PAD models in
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Planning Pattern: Task Breakdown and Strategic Thinking for AI
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Planning Pattern This is all about task breakdown & strategic thinking. Instead of tackling a big request in one go, the AI creates a roadmap: – subdivides tasks
– outlines objectives Just like a project manager organizing a complex workflow. -
ReAct: Combining Reflection and Tool Use for Agents
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ReAct (Reasoning and Acting) ReAct combines Reflection and Tool use patterns. Now the agent can reflect on both the LLM-generated outputs and the results of its interactions with the external world using tools. One of the most popular and powerful patterns used today.
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Tool Use Pattern: LLM Brain with Tools as Hands for Actions
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Tool Use Pattern Imagine the tool use agent as a person, with the LLM as its brain and a set of tools as its hands to take actions. By querying databases, calling APIs, and executing Python scripts, the LLM moves beyond relying solely on its internal knowledge.
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Reflection Pattern: AI Self-Critique and Iterative Refinement Cycle
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Reflection Pattern In this pattern, the AI “reviews” its own work—spotting mistakes and iterating until the final outcome is polished. Think of it like a self-critique cycle where the model refines each draft before presenting the result!
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Reference Framework on When and How to Use AI Today
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a simple reference framework on when and how to use AI today with almost a million views already, one of the most viewed posts in recent days on
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Master Chain-of-Thought Reasoning and Prompt Engineering
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4/ Chapter 3: Prompting Mastery Unlock AI’s full potential with chain-of-thought reasoning
Master in-context learning for smarter, more intuitive AI
Leverage instruction-driven prompting to redefine workflows Revolutionize how AI works for you!