Dr Maryam Miradi
4970
 Subscribers

Dr. Maryam Miradi is a Chief AI Scientist with 20+ years of experience in AI model development and a PhD in AI. She provides practical training and resources on building and implementing real-world AI applications, focusing on multi-agent systems, LLMs, and Python libraries. Her target audience is data scientists and professionals seeking to advance their AI skills and transition into high-impact roles.

Spotlighted Software & Tools
Discover the top tools
Dr Maryam Miradi
loves for growth!
Groq
Accelerate AI inference, prototype rapidly, and deploy micro-apps instantly.
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AI & Automation
Cloud Computing
CrewAI
Orchestrate complex AI workflows easily using CrewAI's multi-agent framework.
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AI & Automation
Development Tools
Langchain
Streamline LLM application development with LangChain's modular framework.
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Development Tools
AI & Automation
ElevenLabs AI
Clone voices, generate AI speech, and streamline multilingual content creation.
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AI & Automation
Video & Media
Gamma
Create, design, and deliver impactful presentations rapidly with AI assistance.
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No Code Platforms
Design & Creative
Hugging Face
Build, train, and deploy AI models using pre-trained resources.
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AI & Automation
Development Tools
Llama
Explore Llama for lightweight natural language tasks and experimentation.
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AI & Automation
Playbooks
Build Talking AI MultiAgent with Ollama, Llama 3, LangChain, CrewAI & ElevenLabs from YouTube Videos

Learn how to build a talking AI travel agent for Amsterdam using YouTube video transcripts. The process leverages CrewAI, Langchain, Ollama, ElevenLabs, Hugging Face, and FAISS to create a multi-agent system that retrieves information, summarizes it using Llama 3, and outputs responses via text-to-speech.

Langchain & Elevenlabs Text to Speech: Equip ANY AI Agent with Quality AI Voice

Learn how to integrate ElevenLabs' text-to-speech API into your projects using Langchain and other tools. The video demonstrates building a multilingual chatbot agent, utilizing ElevenLabs' `play` and `stream` libraries, and showcasing the process with Python code examples within Google Colab.