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1What is the difference between OpenAI GPT-4o and GPT-4o-mini?
Both are OpenAI models but optimised for different use cases: | Feature | GPT-4o | GPT-4o-mini | |---|---|---| | Intelligence | Highest | G...
AI Prompt Engineering Coding Now Expert 22h ago 46
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2What are LangChain agents and how do they differ from chains?
**LangChain Chains:** - Fixed, predefined sequence of steps - The flow is hardcoded by the developer - Deterministic — same input → same...
AI LangChain Python Coding Now Expert 22h ago 54
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3What is a vector database and why is it used in AI applications?
A vector database stores data as high-dimensional vectors (embeddings) and enables fast similarity search. **Why it's needed:** LLMs unders...
AI LangChain Python Coding Now Expert 22h ago 144
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4How to build a RAG chatbot with LangChain and Python?
Here is a simple RAG chatbot using LangChain: ```python from langchain_openai import ChatOpenAI, OpenAIEmbeddings from langchain_community....
LangChain AI Python Coding Now Expert 1d ago 90
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5What is the difference between ChatGPT, Claude, and Gemini?
All three are large language model (LLM) AI assistants: | | ChatGPT | Claude | Gemini | |---|---|---|---| | Company | OpenAI | Anthropic | ...
AI Coding Now Expert 1d ago 165
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6What is prompt engineering and why does it matter?
Prompt engineering is the practice of designing and optimising text inputs (prompts) to get better outputs from AI language models. **Why i...
AI Prompt Engineering Coding Now Expert 1d ago 52
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7What is overfitting and how do you prevent it?
Overfitting occurs when a model learns the training data too well (including noise), so it performs poorly on new data. **Signs:** High tra...
AI Machine Learning Data Science Coding Now Expert 1d ago 213
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8How does a transformer model work?
A Transformer uses **self-attention** to process all tokens in a sequence simultaneously (unlike RNNs which process sequentially). Key comp...
AI Machine Learning Coding Now Expert 1d ago 36
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9What is the difference between supervised and unsupervised learning?
**Supervised learning** — model learns from labelled data (input → output pairs) - Examples: Linear regression, Random Forest, SVM - Use...
AI Machine Learning Coding Now Expert 1d ago 56
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10What is LangChain and why is it used?
LangChain is a framework for building applications with Large Language Models (LLMs). It provides: - **Chains** — link multiple LLM calls...
AI LangChain Python Coding Now Expert 1d ago 274
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11How does RAG (Retrieval Augmented Generation) work in LangChain?
I am learning LangChain and trying to understand how RAG works. Can someone explain the concept with a simple example? I want to build a cha...
LangChain RAG Python Artificial Intelligence Rahul Sharma 6d ago 252
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