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From Language Models to Autonomous Intelligence—The AI Shift You Can’t Ignore
Chatbots are just the beginning. Today’s AI systems are evolving to think, plan, and act—and it’s all powered by advancements in Large Language Models (LLMs) and the rise of Agentic AI.
But how do these models actually work? And what does it take to go from a language model to a fully autonomous AI agent?
In this webinar replay, Narwal unpacks the full journey—from transformer-based models like GPT and DeepSeek to agentic systems that integrate memory, tools, and decision logic to function like intelligent coworkers.
Whether you're a data scientist, enterprise architect, or AI enthusiast, this session will equip you with the clarity and strategic understanding to navigate the next phase of AI.

Key Takeaways from the Session:
How LLMs are trained using transformers, RLHF, and tokenization
The architectural leap from AI agents to agentic systems
What makes Agentic AI autonomous, adaptable, and enterprise-ready
Real-world use cases across cybersecurity, automation, and decision-making
A look into how businesses can start building and adopting intelligent agents today
If you're exploring how Narwal can help you build scalable, intelligent AI systems—or want to stay ahead in the AI evolution—we’d love to connect.
Learn more at: https://narwal.ai

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