Shifting Deep Learning to Agentic AI
📰 Dev.to · Jenil Sheth
Learn how to shift from deep learning to agentic AI and discover the missing pieces to create more autonomous systems
Action Steps
- Build a foundation in deep learning and LLMs
- Identify the missing components in current deep learning systems
- Configure an agentic AI framework to create more autonomous systems
- Test and evaluate the performance of agentic AI models
- Apply agentic AI to real-world problems and applications
Who Needs to Know This
AI engineers and researchers can benefit from this knowledge to create more advanced AI systems, while product managers can use it to inform their product strategy
Key Insight
💡 Agentic AI requires a shift from traditional deep learning approaches to create more autonomous and self-improving systems
Share This
🚀 Shift from deep learning to agentic AI and unlock more autonomous systems! #AI #AgenticAI
Key Takeaways
Learn how to shift from deep learning to agentic AI and discover the missing pieces to create more autonomous systems
Full Article
🧱 FOUNDATION — What You Already Have + What's Missing You know deep learning and LLM token...
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