Open Source vs Closed AI: LLMs, Agents & the AI Stack Explained

IBM Technology · Beginner ·🧠 Large Language Models ·8:34 ·8mo ago

Key Takeaways

The video explains the differences between open source and closed AI, focusing on LLMs, agents, and the AI stack, providing a foundational understanding of AI concepts and technologies.

Original Description

Ready to become a certified z/OS v3.x Administrator? Register now and use code IBMTechYT20 for 20% off of your exam ...
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

This video introduces viewers to the fundamentals of AI, including LLMs, agents, and the AI stack, highlighting the distinction between open source and closed AI approaches. By watching, viewers will gain a solid understanding of AI basics and be able to apply this knowledge to various scenarios. The video is particularly useful for those interested in becoming certified z/OS v3.x Administrators.

Key Takeaways
  1. Familiarize yourself with LLMs and their applications
  2. Understand the role of agents in AI systems
  3. Learn about the AI stack and its components
  4. Distinguish between open source and closed AI approaches
  5. Apply AI concepts to real-world scenarios
💡 The choice between open source and closed AI approaches depends on specific use cases and requirements, and understanding the differences is crucial for effective AI adoption.

Related Reads

📰
The Architecture of Permanence: A Unified Framework for Mathematics, Neuroscience, and Artificial…
Learn how to apply a unified framework for mathematics, neuroscience, and artificial intelligence to understand complex systems
Medium · LLM
 📰
5 Real Ways I Use Walter MCP Inside Claude Every Week
Discover 5 practical ways to use Walter MCP inside Claude with exact prompts for weekly tasks
Medium · AI
 📰
A Real Neuro Symbolic Architectured AI - BrainStem_V8 Needs to Sleep
Learn how BrainStem_V8's neuro-symbolic architecture addresses AI's 'hallucination' problem by incorporating sleep-like mechanisms, and why this matters for next-gen AI stability
Dev.to AI
 📰
8 Best AI Gateways for LangChain and LlamaIndex Applications
Discover the top AI gateways for LangChain and LlamaIndex applications to streamline your workflow and improve efficiency
Dev.to AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →