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Build a DeepSeek AI Agent Locally with Ollama and AGNO Agentic Framework | Step-by-Step Guide​

Автор: FreeBirds Crew - Data Science and GenAI

Загружено: 2025-03-28

Просмотров: 2274

Описание:

AI agents, Autonomous AI, Agentic Design Patterns, Python AI code, Autogen Framework, OpenAI, DeepSeek, Google Gemini, ReAct Pattern, Tool Use Pattern, OpenAI Agents SDK, PhD Research AI, AI Agent Development, DeepSeek AI Agent Tutorial, Ollama Integration, Local AI Deployment, Build AI Agent with AGNO, Agno AI Agents, How to build Ai Agent with Agno,

In this comprehensive tutorial, we'll guide you through the process of creating your first AI agent using DeepSeek, installed locally with Ollama. This AI agent is designed to think and work autonomously, capable of interacting with PDFs, URLs, and performing web searches.​

What You'll Learn:

1. Understanding DeepSeek: Its functionalities and local deployment with Ollama.​
2. Fundamentals of AI agents, their workflows, and agentic design patterns.​
3. Step-by-step instructions to build an AI agent that can reason before responding.​

Prerequisites:

1. Familiarity with DeepSeek and its local installation via Ollama.​
2. Basic knowledge of AI agents and agentic design patterns.​

For foundational knowledge on DeepSeek and AI agents, please refer to the following resources:
1. What is DeepSeek [Research Paper Explained]:    • What is DeepSeek? [Technical Report Explai...  
2. How to run DeepSeek locally:    • DeepSeek R1 vs DeepSeek R1 Zero [Architect...  
3. What are AI Agents [Explained]:    • What are AI Agents? [Explained] AI Agent P...  
4. Agentic AI Design Pattern Explained with Projects:    • 5 Agentic AI Design Patterns [Explained] w...  

To get the Source Code, Follow me on GitHub: https://github.com/simranjeet97/Agent...

Book your call with me at topmate.io and learn how to harness the latest technology's power and speed up your learning process.
Book your call at https://bit.ly/43TLDCD

Follow me on Medium for the latest blogs and projects: https://bit.ly/3JGXqwc

Playlists that make you skilled up
1. GenAI Full Course with LLM Fine Tuning and Evaluation: https://bit.ly/4bJwZla
2. Learn RAG from scratch with GenAI projects: https://bit.ly/3Zl47KD
3. Latest AI/GenAI Research Papers Explained: https://bit.ly/4huqEMT
4. RAG and LLM Use Cases in Finance Domain Projects: https://bit.ly/3AGSRQm
4. Prompt Engineering: https://bit.ly/42v376M
5. Financial Data Analysis and Financial Modelling: https://bit.ly/3OCWI5O
6. Artificial Intelligence Projects: https://bit.ly/3L8lhEi
7. Predict IPL 2023 Winner (End-to-End Data Science Project): https://bit.ly/3BfC3N9
8. Explainable AI (XAI) Machine Learning: https://bit.ly/3gsuIxb
9. Face Recognition: https://bit.ly/2YphpHm

YouTube Keywords:
genai projects, Generative ai projects, genai project, generative ai project, AI agent architecture, Autonomous AI agents, Multi-agent collaboration, Decision making in AI, Robust AI systems, AI pattern design, , Autogen framework, Agent communication, AI workflow automation, Scalable AI solutions, AI design patterns, Machine learning agents, Agentic AI development, AI reasoning models, Autonomous decision making, AI tool integration, Natural language processing, Advanced AI algorithms, LLM integration, Generative AI agents, AI optimization techniques, Dynamic AI systems, Intelligent agent design, Multi-agent system design, AI strategic planning, Agent reflection pattern, Tool use pattern, ReAct pattern, Planning pattern, Multi-agent pattern, AI project development, AI coding tutorials, Adaptive AI systems, , AI self-reflection, AI pattern implementation, Scalable multi-agent systems, AI agent evaluation, Real-time AI integration, Python automation scripts, AI innovation patterns, Agentic AI research, Krish Naik AI Agents, Krish Naik Agentic AI, Agno Agentic AI Framework, Agno AI Agents,

Build a DeepSeek AI Agent Locally with Ollama and AGNO Agentic Framework | Step-by-Step Guide​

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