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What is Meta Prompting ?

📹 VIDEO TITLE 📹
What is Meta Prompting ?

✍️VIDEO DESCRIPTION ✍️
Meta Prompting is a powerful technique in the world of AI prompting where you ask a language model to help you design better prompts — instead of directly answering your question. It flips the usual dynamic by turning the LLM into a prompt engineer, capable of crafting precise, goal-aligned instructions for itself or another model. This approach is especially useful when you want to improve accuracy, clarity, or control over how the AI responds.

In this video, we break down what Meta Prompting is, how it works, and why it's useful in LLM-driven systems. You’ll learn how Meta Prompting enables more flexible and scalable workflows, especially in agentic systems where different LLMs take on roles like “Prompt Designer” and “Task Executor.” We also walk through practical examples, including how one LLM can generate a task-specific prompt that another LLM uses to carry out the actual work.

Whether you're building AI tools, designing prompt-based workflows, or just curious about how to get better results from language models, understanding Meta Prompting is essential. By the end of this video, you'll see how Meta Prompting unlocks smarter, more adaptive AI behavior — and why it's quickly becoming a foundational technique in modern AI development.

📽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
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
What is NLP? - https://youtu.be/C528qW0Zr8k
What is Open Router? - https://youtu.be/pfT6l0yMsB0
What is Sentiment Analysis? - https://youtu.be/hkmAuBWhiXs

SDK(s) in Pinecone Vector DB - https://youtu.be/ttnPUbiLjv0
Pinecone Vector DB POD(s) vs Serverless - https://youtu.be/t7qpxjTTccc
Meta Data Filters in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M
Namespaces in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M
Fetches & Queries in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M
Upserts & Deletes in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M
What is a Pineconde Index - https://youtu.be/IHm0-WBELTI
What is the Pinecone Vector DB - https://youtu.be/IHm0-WBELTI
What is LLM LangGraph ? - https://youtu.be/w4U3gG_C4VY
AWS Lambda + Anthropic Claude - https://youtu.be/WaxYMhNsCAk

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 TopK ? - https://youtu.be/aDmp2Uim0zQ
What is the LLM’s Temperature ? - https://youtu.be/_YTnZOYxSjE
What is LLM Prompt Engineering ? - https://youtu.be/s_8Ba_UJkcA
What is LLM Tokenization? - https://youtu.be/q77s1gurXYU
What is the LangChain Framework? - https://youtu.be/dS5H-bjItqE
What are AI HyperScalers? - https://youtu.be/YH9b7-BfSjQ
What is LLM Fine-Tuning ? - https://youtu.be/D-1Bk-NxiBI
What is LLM Pre-Training? - https://youtu.be/P7emqEtkiSk
AI ML Training versus Inference - https://youtu.be/lsPucobtdDk
What is meant by AI ML Model Training Corpus? - https://youtu.be/f0s2D-XvNbo
What is AI LLM Multi-Modality? - https://youtu.be/8rr8jKKt7q4
What is an LLM ? - https://youtu.be/pMZd3wLabTk
Predictive versus Generative AI ? - https://youtu.be/70EiOHDUBus

🔠KEYWORDS 🔠
#MetaPrompting
#PromptEngineering
#LLMPromptDesign
#AgenticAI
#AIWorkflowAutomation
#PromptGenerator
#LLMBestPractices
#AIAgents
#StructuredPrompting
#LLMDrivenSystems
#AIPromptTuning
#LLMPromptTemplates
#AIPromptEngineeringTools
#AIEngineering

Видео What is Meta Prompting ? канала New Machina
Яндекс.Метрика

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