🚀 Generative AI Interview Questions with Answers (Part 2)
6️⃣ What is Fine-Tuning in Generative AI?
👉 Fine-tuning is the process of taking a pre-trained AI model and training it further on a specific dataset to improve its performance for a particular task or domain.
📌 Pre-trained Model → Domain-Specific Data → Fine-Tuned Model
Examples:
🔹 Customer Support
🔹 Medical Text Processing
🔹 Legal Documents
🔹 Code Generation
💡 Fine-tuning is different from training a model completely from scratch.
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7️⃣ What is RAG (Retrieval-Augmented Generation)?
👉 RAG combines information retrieval with Generative AI. Before generating an answer, the system retrieves relevant information from an external knowledge source and provides it to the model.
📌 Basic flow:
User Query → Retrieve Documents → Add Context → LLM → Answer
Benefits:
🔹 Works with private data
🔹 Uses updated external information
🔹 Useful for document-based chatbots
🔹 Can improve factual grounding
---
8️⃣ What is a Vector Database?
👉 A Vector Database stores numerical vector representations (embeddings) and enables efficient similarity searches.
It is commonly used in:
🔹 RAG Applications
🔹 Semantic Search
🔹 Recommendation Systems
🔹 Document Retrieval
🔹 AI Chatbots
📌 Text → Embedding → Vector Database → Similar Documents
💡 Vector search finds information based on semantic similarity, not just exact keyword matches.
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9️⃣ What is an AI Agent?
👉 An AI Agent is a system that can reason about a goal, use tools, and take actions to complete tasks.
Example:
AI agents can potentially use:
🔹 APIs
🔹 Databases
🔹 Web Search
🔹 Code Execution
🔹 External Tools
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🔟 What is Multimodal AI?
👉 Multimodal AI can process or generate multiple types of data, such as text, images, audio, and video.
Example:
📷 Image + 📝 Text → AI → 💬 Answer
Applications include:
🔹 Image Understanding
🔹 Voice Assistants
🔹 Document Analysis
🔹 Video Understanding
🔹 AI Content Creation
💡 Multimodal AI allows systems to work with information beyond text alone.
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💬 Save this for your Generative AI interview preparation!
🔥 Part 3 will cover 5 questions on AI Models, LLM Parameters, Context Window, Temperature & Top-P.
#GenerativeAI #GenAI #AI #LLM #RAG #AIAgents #VectorDatabase #MultimodalAI #AIInterview #InterviewQuestions
6️⃣ What is Fine-Tuning in Generative AI?
👉 Fine-tuning is the process of taking a pre-trained AI model and training it further on a specific dataset to improve its performance for a particular task or domain.
📌 Pre-trained Model → Domain-Specific Data → Fine-Tuned Model
Examples:
🔹 Customer Support
🔹 Medical Text Processing
🔹 Legal Documents
🔹 Code Generation
💡 Fine-tuning is different from training a model completely from scratch.
---
7️⃣ What is RAG (Retrieval-Augmented Generation)?
👉 RAG combines information retrieval with Generative AI. Before generating an answer, the system retrieves relevant information from an external knowledge source and provides it to the model.
📌 Basic flow:
User Query → Retrieve Documents → Add Context → LLM → Answer
Benefits:
🔹 Works with private data
🔹 Uses updated external information
🔹 Useful for document-based chatbots
🔹 Can improve factual grounding
---
8️⃣ What is a Vector Database?
👉 A Vector Database stores numerical vector representations (embeddings) and enables efficient similarity searches.
It is commonly used in:
🔹 RAG Applications
🔹 Semantic Search
🔹 Recommendation Systems
🔹 Document Retrieval
🔹 AI Chatbots
📌 Text → Embedding → Vector Database → Similar Documents
💡 Vector search finds information based on semantic similarity, not just exact keyword matches.
---
9️⃣ What is an AI Agent?
👉 An AI Agent is a system that can reason about a goal, use tools, and take actions to complete tasks.
Example:
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User Goal
↓
AI Agent
↓
Reasoning
↓
Tool / API
↓
Action
↓
Result
AI agents can potentially use:
🔹 APIs
🔹 Databases
🔹 Web Search
🔹 Code Execution
🔹 External Tools
---
🔟 What is Multimodal AI?
👉 Multimodal AI can process or generate multiple types of data, such as text, images, audio, and video.
Example:
📷 Image + 📝 Text → AI → 💬 Answer
Applications include:
🔹 Image Understanding
🔹 Voice Assistants
🔹 Document Analysis
🔹 Video Understanding
🔹 AI Content Creation
💡 Multimodal AI allows systems to work with information beyond text alone.
---
💬 Save this for your Generative AI interview preparation!
🔥 Part 3 will cover 5 questions on AI Models, LLM Parameters, Context Window, Temperature & Top-P.
#GenerativeAI #GenAI #AI #LLM #RAG #AIAgents #VectorDatabase #MultimodalAI #AIInterview #InterviewQuestions