What are Agentic Guardrails ?

Description

📹 VIDEO TITLE 📹 What are Agentic Guardrails ? ✍️VIDEO DESCRIPTION ✍️ In this video, we delve into the concept of Agentic Guardrails, a pivotal element in the realm of artificial intelligence. These guardrails are essential for ensuring that autonomous systems operate within safe and effective boundaries, preventing them from engaging in undesirable behaviors. By setting predefined constraints and guidelines, agentic guardrails act as safety nets for AI, ensuring that these systems do not deviate from their intended paths. This video provides a comprehensive overview of how these guardrails function and their significance in maintaining the integrity of AI-driven workflows. The video further explores the necessity of defining Large Language Model (LLM) Agentic Guardrails, emphasizing their role in maintaining safety and quality in AI workflows. These guardrails ensure compliance with ethical and operational standards, guiding AI systems in their decision-making processes. By keeping AI systems in check, agentic guardrails ensure that they act in ways that align with human values and organizational goals. The primary purpose of these guardrails is to mitigate risks associated with AI deployment, such as unintended actions and system failures, thereby establishing clear operational boundaries to prevent ethical violations. Additionally, the video discusses the different types of guardrails, namely input and output guardrails, and how they function. Input guardrails focus on the data and instructions fed into AI systems, ensuring accuracy and appropriateness, while output guardrails monitor the results produced by AI, ensuring they meet predefined standards and expectations. The implementation of agentic guardrails involves a combination of software engineering practices and policy frameworks, with real-time monitoring tools used to dynamically adjust AI behavior as needed. Ultimately, agentic guardrails are crucial for the safe and responsible deployment of AI, ensuring these systems serve their intended purpose without causing harm. 📽OTHER NEW MACHINA VIDEOS REFERENCED IN THIS VIDEO 📽 Build an MP Neuron with PyTorch - https://youtu.be/L6FrRQEe3GY LangChain versus LangGraph - https://youtu.be/JaCSgQtziMA Chroma versus Pinecone Vector Database - https://youtu.be/EtR6BWrCbMQ What is the Chroma Vector Database ? - https://youtu.be/qn738hVKJe4 RAG with OpenAI & Pinecone Vector Database ? - https://youtu.be/IuXVTJm-iF8 What are LLM Function Calls ? - https://youtu.be/Nh6qoBnreBc Embeddings with Open AI & Pinecone Vector Database - https://youtu.be/GgeoyzWBrSI What is Hugging Face? - https://youtu.be/QvO4EnN905Y RAG vs Fine-Tuning - https://youtu.be/AJmlg7rdmLA What is RAG ? - https://youtu.be/SDsY9hHS9Qo What is the Perceptron? - https://youtu.be/UeKxO-Sk0wE What is the MP Neuron? - https://youtu.be/MBSHhsvaTjs What is Physical AI ? - https://youtu.be/Xya21TpCog0 What is the Turing Test ? - https://youtu.be/wXMLF54AUwU What is LLM Alignment ? - https://youtu.be/nYX73hSDEqo What are Agentic Workflows? - https://youtu.be/CwLAtLyFiTM Why is AI going Nuclear? - https://youtu.be/eFYy1UYzdZg What is Synthetic Data? - https://youtu.be/34n9DxFqFc0 What is NLP? - https://youtu.be/C528qW0Zr8k What is Open Router? - https://youtu.be/pfT6l0yMsB0 What is Sentiment Analysis? - https://youtu.be/hkmAuBWhiXs What is Mojo ? - https://youtu.be/5uqEPn3DQl8 LangChain HelloWorld with Open GPT 3.5 - https://youtu.be/tD335RLNYJQ Forget about LLMs What About SLMs - https://youtu.be/Pn7a35dQq2s What are LLM Presence and Frequency Penalties? - https://youtu.be/J66CRz6s734 What are LLM Hallucinations ? - https://youtu.be/4xmMj6UPIb4 Can LLMs Reason over Large Inputs ? - https://youtu.be/nCVjjXPIrxc What is the LLM’s Context Window? - https://youtu.be/y5wBbDSe0cM What is LLM Chain of Thought Prompting? - https://youtu.be/Lwn88e17u4k Algorithms for Search Similarity - https://youtu.be/jaJd9IFlVCA How LLMs use Vector Databases - https://youtu.be/1GT6ctTyXFo What are LLM Embeddings ? - https://youtu.be/UShw_1NbpCw How LLM’s are Driven by Vectors - https://youtu.be/Yl_ebS_jWZM What is 0, 1, and Few Shot LLM Prompting ? - https://youtu.be/ckQPDM-97dM What are the LLM’s Top-P and Top ? - https://youtu.be/aDmp2Uim0zQ 🔠KEYWORDS 🔠 #AgenticGuardrails #AI #AutonomousSystems #Safety #EffectiveBoundaries #UndesirableBehaviors #PredefinedConstraints #SystemFailures #EthicalViolations #InputGuardrails #OutputGuardrails #DataValidation #QualityControl #PolicyFrameworks #SafeDeployment #ResponsibleAI #AIWorkflow #LLMSystems #AIImplementation #AIBehavior