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EdtechVideosLive Day 2-Building AI Agents Crash Course
AIEdTech

Live Day 2-Building AI Agents Crash Course

•February 12, 2026
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Krish Naik
Krish Naik•Feb 12, 2026

Why It Matters

LLMs enable scalable automation of language‑intensive tasks, giving companies faster content creation, improved customer interactions, and a competitive edge in AI‑driven markets.

Key Takeaways

  • •LLMs are deep‑learning models trained on petabytes of text.
  • •"Large" denotes massive datasets and billions‑to‑trillions of parameters.
  • •They predict next words, enabling text generation and translation.
  • •Applications span chatbots, research assistance, and code writing.
  • •Continuous evolution promises broader impact on information interaction.

Summary

The video provides a concise introduction to large language models (LLMs), explaining that they are deep‑learning algorithms trained on petabytes of text data. It emphasizes that the term “large” refers both to the massive training corpora and to the billions‑to‑trillions of adjustable parameters that give the models their predictive power.

Key insights include how LLMs learn statistical relationships between words rather than true comprehension, enabling them to predict the next most probable token in a sequence. This capability underpins a wide array of functions such as coherent text generation, question answering, summarization, translation, and even code synthesis.

The presenter highlights examples like advanced chatbots, virtual assistants, and research tools that leverage LLMs to automate content creation and data analysis. A notable quote underscores that the models “don’t understand in the human sense, but they become exceptionally good at predicting the next word.”

The broader implication is that LLMs are reshaping how businesses interact with information, offering scalable automation for customer service, knowledge work, and creative production, and signaling a shift toward AI‑augmented workflows across industries.

Original Description

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