How AI Finds Similar Data Instantly

Preparing for an LLM or Generative AI interview?

In this video, we cover the Top 20 LLM Interview Questions that are actually asked in real interviews for AI Engineer, ML Engineer, and GenAI roles.

You will learn:
- What exactly is a Large Language Model?
- How do LLMs actually generate text?
- How Transformers Revolutionized NLP vs Older Models
- The Secret Behind How LLMs Are Trained?
- Attention in LLMs: Why It’s a Game-Changer?
- The Biggest Limitations of LLMs Explained
- Real-World Uses of LLMs You Should Know?
- What is fine-tuning and why do we need it?
- The Ethical Risks of Using LLMs
- How do you know if an LLM is any good?
- What does temperature do in AI text generation?
- What is Top-P sampling in AI, and why is it used?
- Embeddings Explained: Why They Matter in AI
- Vector Databases Explained: How They Power LLMs
- Prompt Injection Explained: Why It’s Risky for AI
- Why does the same prompt give you different answers from an LLM?
- Quantization in LLMs Explained: Faster AI, Smaller Models
- How do LLM apps answer questions about your documents without retraining the model?
- Prompt engineering vs fine-tuning — same goal, totally different approach
- Why do LLMs hallucinate

This is a complete crash course for anyone preparing for LLM, GenAI, NLP, or AI interviews.

Perfect for:
AI Engineers, ML Engineers, Data Scientists, NLP Engineers, and GenAI Developers.

Watch till the end to confidently answer any LLM interview question.

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Видео How AI Finds Similar Data Instantly канала Tech With Mala