Welcome to MLQ Café — where Machine Learning meets clarity!
Whether you're a student, aspiring data scientist, or tech enthusiast, this is your go-to spot for breaking down complex concepts in Python, Machine Learning, Data Science, Statistics, and AI.
▶️ What you'll get here:
Short & focused Q&A-style explainers
Python coding tips and ML tricks
Research paper breakdowns in NLP, LLMs, and Vision
AI news and trends explained simply
Bite-sized insights for interviews and real-world projects
At MLQ Café, we believe in learning one question at a time — with a good sip of curiosity ☕
👉 Subscribe, grab your coffee, and start your journey toward mastering machine learning.
🔗 Check out our books on Amazon for deeper question banks and learning resources!

Today’s Ques: What are essential tips to prepare for Retrieval-Augmented Generation (RAG) interview?
1:51
Today’s Ques: What are essential tips to prepare for Retrieval-Augmented Generation (RAG) interview?
Today’s Question: How chunking boost sentiment analysis accuracy on long, detailed product reviews?
0:43
Today’s Question: How chunking boost sentiment analysis accuracy on long, detailed product reviews?
Today’s Question: How chunking methods affect retriever performance, how to choose best one for RAG?
1:10
Today’s Question: How chunking methods affect retriever performance, how to choose best one for RAG?
Today’s Question: What chunking techniques are used in RAG, how they affect retrieval & generation?
2:13
Today’s Question: What chunking techniques are used in RAG, how they affect retrieval & generation?
Today’s Question: How does RAG ensure the retrieved information is up-to-date? #interviewprep #rag
0:56
Today’s Question: How does RAG ensure the retrieved information is up-to-date? #interviewprep #rag
Today’s Ques: How do RAG systems use pre-trained components and algorithms to function effectively?
1:13
Today’s Ques: How do RAG systems use pre-trained components and algorithms to function effectively?
Today’s Question: What challenges does RAG solve in natural language processing? #interviewprep
1:39
Today’s Question: What challenges does RAG solve in natural language processing? #interviewprep
Today’s Question: How does RAG integrate with existing machine learning pipelines? #interviewprep
0:42
Today’s Question: How does RAG integrate with existing machine learning pipelines? #interviewprep
Today’s Question: Describe situation where Retrieval-Augmented Generation (RAG) would be effective?
1:09
Today’s Question: Describe situation where Retrieval-Augmented Generation (RAG) would be effective?
Today’s Question: Does the way we design prompts affects quality of responses in RAG? #llm #rag
1:27
Today’s Question: Does the way we design prompts affects quality of responses in RAG? #llm #rag
Today’s Question: How does the retriever work in RAG, and what are common retrieval methods? #llm
1:47
Today’s Question: How does the retriever work in RAG, and what are common retrieval methods? #llm
Today’s Question: What types of external knowledge sources can RAG use? #interviewprep #llm #rag
1:28
Today’s Question: What types of external knowledge sources can RAG use? #interviewprep #llm #rag
Today’s Question: What are benefits of using RAG instead of relying on an LLM’s internal knowledge?
1:24
Today’s Question: What are benefits of using RAG instead of relying on an LLM’s internal knowledge?
Today’s Question: What are main component of RAG system and how they work together? #llm
1:57
Today’s Question: What are main component of RAG system and how they work together? #llm
Today’s Question: What role of Reinforcement Learning in LLMs? #interviewprep #genai #datascience
1:57
Today’s Question: What role of Reinforcement Learning in LLMs? #interviewprep #genai #datascience
Today’s Question: How to handle over-fitting in LLMs? #interviewprep #genai #llm #ai #datascience
1:52
Today’s Question: How to handle over-fitting in LLMs? #interviewprep #genai #llm #ai #datascience
Today’s Question: What difference between generative & discriminative language model? #genai #llm
1:51
Today’s Question: What difference between generative & discriminative language model? #genai #llm
Today’s Ques: Give an example of tasks where zero-shot learning might be useful, explain why? #genai
1:50
Today’s Ques: Give an example of tasks where zero-shot learning might be useful, explain why? #genai
Today’s Ques: What is retrieval-augmented generation, how it different from traditional generation?
2:27
Today’s Ques: What is retrieval-augmented generation, how it different from traditional generation?
Today’s Ques: What are LLM limitations, how they impact language generation & complex task solving?
2:36
Today’s Ques: What are LLM limitations, how they impact language generation & complex task solving?
Today’s Question: What are some ethical concerns that arise when using Large Language Models (LLMs)?
2:29
Today’s Question: What are some ethical concerns that arise when using Large Language Models (LLMs)?
Today’s Question: What are common techniques to evaluate LLMs, how they measure model performance?
1:56
Today’s Question: What are common techniques to evaluate LLMs, how they measure model performance?
Today’s Question: How can prompt engineering help LLMs generate more accurate & unbiased responses?
1:55
Today’s Question: How can prompt engineering help LLMs generate more accurate & unbiased responses?
Today’s Ques: What effects of biases in LLM training data on model performance & decision-making?
2:44
Today’s Ques: What effects of biases in LLM training data on model performance & decision-making?
Today’s Question: What are applications of LLMs? #interviewprep #datascience #genai #ai #datascience
1:31
Today’s Question: What are applications of LLMs? #interviewprep #datascience #genai #ai #datascience
Today’s Ques: What role transformers play in LLMs, how they generate cohesive, contextual language?
1:47
Today’s Ques: What role transformers play in LLMs, how they generate cohesive, contextual language?
Today’s Question: How are LLMs trained, what’s the process of pre-training and fine-tuning? #genai
1:45
Today’s Question: How are LLMs trained, what’s the process of pre-training and fine-tuning? #genai
Today’s Question: What differentiate #llm from traditional chatbots? #interviewprep #genai #ai
1:18
Today’s Question: What differentiate #llm from traditional chatbots? #interviewprep #genai #ai
Today’s Question: What is a Large Language Model (#llm )? #interviewprep #genai #datascience #ai
1:51
Today’s Question: What is a Large Language Model (#llm )? #interviewprep #genai #datascience #ai
Today’s Question: How do you iteratively refine prompts to boost LLM performance? #genai #llm
3:00
Today’s Question: How do you iteratively refine prompts to boost LLM performance? #genai #llm