Forwarded from Machine Learning with Python
TOP RAG INTERVIEW.pdf
166 KB
๐ ๐๐๐ ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐๐๐๐ โฃโฃ
๐น Advanced #RAG engineering conceptsโฃโฃ
โข Multi-stage retrieval pipelinesโฃโฃ
โข Agentic RAG vs classical RAGโฃโฃ
โข Latency optimizationโฃโฃ
โข Security risks in enterprise RAG systemsโฃโฃ
โข Monitoring and debugging production RAG systemsโฃโฃ
โฃโฃ
๐ ๐๐ก๐ ๐๐๐ ๐๐จ๐ง๐ญ๐๐ข๐ง๐ฌ ๐๐ ๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐๐ซ ๐๐ฑ๐ฉ๐ฅ๐๐ง๐๐ญ๐ข๐จ๐ง๐ฌ ๐ญ๐จ ๐ก๐๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐ฎ๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐ ๐๐จ๐ญ๐ก ๐๐จ๐ง๐๐๐ฉ๐ญ๐ฌ ๐๐ง๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐๐ฌ๐ข๐ ๐ง ๐ญ๐ก๐ข๐ง๐ค๐ข๐ง๐ .โฃโฃ
โฃโฃ
https://t.me/CodeProgrammer
๐น Advanced #RAG engineering conceptsโฃโฃ
โข Multi-stage retrieval pipelinesโฃโฃ
โข Agentic RAG vs classical RAGโฃโฃ
โข Latency optimizationโฃโฃ
โข Security risks in enterprise RAG systemsโฃโฃ
โข Monitoring and debugging production RAG systemsโฃโฃ
โฃโฃ
๐ ๐๐ก๐ ๐๐๐ ๐๐จ๐ง๐ญ๐๐ข๐ง๐ฌ ๐๐ ๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐๐ซ ๐๐ฑ๐ฉ๐ฅ๐๐ง๐๐ญ๐ข๐จ๐ง๐ฌ ๐ญ๐จ ๐ก๐๐ฅ๐ฉ ๐ฒ๐จ๐ฎ ๐ฎ๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐ ๐๐จ๐ญ๐ก ๐๐จ๐ง๐๐๐ฉ๐ญ๐ฌ ๐๐ง๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐๐ฌ๐ข๐ ๐ง ๐ญ๐ก๐ข๐ง๐ค๐ข๐ง๐ .โฃโฃ
โฃโฃ
https://t.me/CodeProgrammer
โค2
Time Complexity of 10 Most Popular ML Algorithms Know What You're Waiting For โณ๐ง
https://t.me/DataScienceM
https://t.me/DataScienceM
โค3
๐ How to Effectively Review Claude Code Output
๐ Category: AGENTIC AI
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 7 min read
Get more out of your coding agents by making reviewing more efficient
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 7 min read
Get more out of your coding agents by making reviewing more efficient
#DataScience #AI #Python
โค2
๐ Self-Hosting Your First LLM
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 20 min read
Privacy. Cost. Customization. Everything you need to knowโstep by step.
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 20 min read
Privacy. Cost. Customization. Everything you need to knowโstep by step.
#DataScience #AI #Python
CNN vs Vision Transformer โ The Battle for Computer Vision ๐โก๏ธ
Two architectures. One goal: identify the cat. But they see things differently:
๐ง CNN (Convolutional Neural Network)
ยท Scans the image with filters
ยท Detects local patterns first (edges โ textures โ shapes)
ยท Builds understanding layer by layer
๐ Vision Transformer (ViT)
ยท Splits image into patches (like words in a sentence)
ยท Detects global patterns from the start
ยท Sees the whole picture using attention mechanisms
Same input. Same output. Different journey.
CNNs think locally and build up.
Transformers think globally from the get-go.
Which one wins? Depends on the task โ but both are shaping the future of how machines see.
https://t.me/CodeProgrammer
Two architectures. One goal: identify the cat. But they see things differently:
๐ง CNN (Convolutional Neural Network)
ยท Scans the image with filters
ยท Detects local patterns first (edges โ textures โ shapes)
ยท Builds understanding layer by layer
๐ Vision Transformer (ViT)
ยท Splits image into patches (like words in a sentence)
ยท Detects global patterns from the start
ยท Sees the whole picture using attention mechanisms
Same input. Same output. Different journey.
CNNs think locally and build up.
Transformers think globally from the get-go.
Which one wins? Depends on the task โ but both are shaping the future of how machines see.
https://t.me/CodeProgrammer
โค2
๐ Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes
๐ Category: MACHINE LEARNING
๐ Date: 2026-03-18 | โฑ๏ธ Read time: 20 min read
Why one model canโt do two jobs
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2026-03-18 | โฑ๏ธ Read time: 20 min read
Why one model canโt do two jobs
#DataScience #AI #Python
Forwarded from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
๐ The New Experience of Coding with AI
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2026-03-18 | โฑ๏ธ Read time: 12 min read
The seduction of AI code assistants
#DataScience #AI #Python
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2026-03-18 | โฑ๏ธ Read time: 12 min read
The seduction of AI code assistants
#DataScience #AI #Python
๐ Why You Should Stop Worrying About AI Taking Data Science Jobs
๐ Category: DATA SCIENCE
๐ Date: 2026-03-18 | โฑ๏ธ Read time: 8 min read
Itโs all just fearmongering
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-18 | โฑ๏ธ Read time: 8 min read
Itโs all just fearmongering
#DataScience #AI #Python
Forwarded from Machine Learning with Python
PhD Students - Do you need datasets for your research?
Here are 30 datasets for research from NexData.
Use discount code for 20% off: G5W924C3ZI
1. Korean Exam Question Dataset for AI Training
https://lnkd.in/d_paSwt7
2. Multilingual Grammar Correction Dataset
https://lnkd.in/dV43iqTp
3. High quality video caption dataset
https://lnkd.in/dY9kxkhx
4. 3D models and scenes datasets for AI and simulation
https://lnkd.in/dT-zscH4
5. Image editing datasets โ object removal, addition & modification
https://lnkd.in/dd8iCGMS
6. QA dataset โ visual & text reasoning
https://lnkd.in/dc3TNWFD
7. English instruction tuning dataset
https://lnkd.in/dTeTgd2M
8. Large scale vision language dataset for AI training
https://lnkd.in/dBJuxazN
9. News dataset
https://lnkd.in/dYBJe5gd
10. Global building photos dataset
https://lnkd.in/dVJsDXnC
11. Facial landmarks dataset
https://lnkd.in/dz_KGCS4
12. 3D Human Pose & Landmarks dataset
https://lnkd.in/dXE9ir8Z
13. 3D Hand Pose & Gesture Recognition dataset
https://lnkd.in/d_QdGGb9
14. 14. Driver monitoring dataset โ dangerous, fatigue
https://lnkd.in/d6kF-9PW
15. Japanese handwriting OCR dataset
https://lnkd.in/dHnriqrH
16. American English Male voice TTS dataset
https://lnkd.in/dqyvg862
17. Riddles and brain teasers dataset
https://lnkd.in/dKBHY3DE
18. Chinese test questions text
https://lnkd.in/dQpUd8xC
19. Chinese medical question answering data
https://lnkd.in/dsbWUCpz
20. Multi-round interpersonal dialogues text data
https://lnkd.in/dQiUq_Jg
21. Human activity recognition dataset
https://lnkd.in/dHM52MfV
22. Facial expression recognition dataset
https://lnkd.in/dqQAfMau
23. Urban surveillance dataset
https://lnkd.in/dc2RCnTk
24. Human body segmentation dataset
https://lnkd.in/d6sSrDxS
25. Fashion segmentation โ clothing & accessories
https://lnkd.in/dptNUTz8
26. Fight video dataset โ action recognition
https://lnkd.in/dnY_m5hZ
27. Gesture recognition dataset
https://lnkd.in/dFVPivYg
28. Facial skin defects dataset
https://lnkd.in/dKCbUvU6
29. Smoke detection and behaviour recognition dataset
https://lnkd.in/ddGg56R4
30. Weight loss transformation video dataset
https://lnkd.in/dqqT4ed9
https://t.me/CodeProgrammer๐พ
Here are 30 datasets for research from NexData.
Use discount code for 20% off: G5W924C3ZI
1. Korean Exam Question Dataset for AI Training
https://lnkd.in/d_paSwt7
2. Multilingual Grammar Correction Dataset
https://lnkd.in/dV43iqTp
3. High quality video caption dataset
https://lnkd.in/dY9kxkhx
4. 3D models and scenes datasets for AI and simulation
https://lnkd.in/dT-zscH4
5. Image editing datasets โ object removal, addition & modification
https://lnkd.in/dd8iCGMS
6. QA dataset โ visual & text reasoning
https://lnkd.in/dc3TNWFD
7. English instruction tuning dataset
https://lnkd.in/dTeTgd2M
8. Large scale vision language dataset for AI training
https://lnkd.in/dBJuxazN
9. News dataset
https://lnkd.in/dYBJe5gd
10. Global building photos dataset
https://lnkd.in/dVJsDXnC
11. Facial landmarks dataset
https://lnkd.in/dz_KGCS4
12. 3D Human Pose & Landmarks dataset
https://lnkd.in/dXE9ir8Z
13. 3D Hand Pose & Gesture Recognition dataset
https://lnkd.in/d_QdGGb9
14. 14. Driver monitoring dataset โ dangerous, fatigue
https://lnkd.in/d6kF-9PW
15. Japanese handwriting OCR dataset
https://lnkd.in/dHnriqrH
16. American English Male voice TTS dataset
https://lnkd.in/dqyvg862
17. Riddles and brain teasers dataset
https://lnkd.in/dKBHY3DE
18. Chinese test questions text
https://lnkd.in/dQpUd8xC
19. Chinese medical question answering data
https://lnkd.in/dsbWUCpz
20. Multi-round interpersonal dialogues text data
https://lnkd.in/dQiUq_Jg
21. Human activity recognition dataset
https://lnkd.in/dHM52MfV
22. Facial expression recognition dataset
https://lnkd.in/dqQAfMau
23. Urban surveillance dataset
https://lnkd.in/dc2RCnTk
24. Human body segmentation dataset
https://lnkd.in/d6sSrDxS
25. Fashion segmentation โ clothing & accessories
https://lnkd.in/dptNUTz8
26. Fight video dataset โ action recognition
https://lnkd.in/dnY_m5hZ
27. Gesture recognition dataset
https://lnkd.in/dFVPivYg
28. Facial skin defects dataset
https://lnkd.in/dKCbUvU6
29. Smoke detection and behaviour recognition dataset
https://lnkd.in/ddGg56R4
30. Weight loss transformation video dataset
https://lnkd.in/dqqT4ed9
https://t.me/CodeProgrammer
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โค4
๐ Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines
๐ Category: AGENTIC AI
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 13 min read
A practical guide to caching layers across the RAG pipeline, from query embeddings to fullโฆ
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 13 min read
A practical guide to caching layers across the RAG pipeline, from query embeddings to fullโฆ
#DataScience #AI #Python
๐ Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition
๐ Category: DATA SCIENCE
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 14 min read
A visual guide to vectors and projections
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 14 min read
A visual guide to vectors and projections
#DataScience #AI #Python
โค1
๐ Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development
๐ Category: AGENTIC AI
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 16 min read
Accelerate coding with AI while staying in control and building reliable, production-ready software.
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 16 min read
Accelerate coding with AI while staying in control and building reliable, production-ready software.
#DataScience #AI #Python
๐ The Basics of Vibe Engineering
๐ Category: AGENTIC AI
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 14 min read
Building products without the coding part
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-19 | โฑ๏ธ Read time: 14 min read
Building products without the coding part
#DataScience #AI #Python
โค1
๐ Building Robust Credit Scoring Models (Part 3)
๐ Category: MACHINE LEARNING
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 18 min read
Handling outliers and missing values in borrower data using Python.
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 18 min read
Handling outliers and missing values in borrower data using Python.
#DataScience #AI #Python
โค2
๐ How to Measure AI Value
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 12 min read
While efficiency is an important source of AI value, it is only part of theโฆ
#DataScience #AI #Python
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 12 min read
While efficiency is an important source of AI value, it is only part of theโฆ
#DataScience #AI #Python
๐ Agentic RAG Failure Modes: Retrieval Thrash, Tool Storms, and Context Bloat (and How to Spot Them Early)
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 8 min read
Why agentic RAG systems fail silently in production and how to detect them before yourโฆ
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 8 min read
Why agentic RAG systems fail silently in production and how to detect them before yourโฆ
#DataScience #AI #Python
๐ The Math Thatโs Killing Your AI Agent
๐ Category: AGENTIC AI
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 12 min read
An 85% accurate AI agent fails 4 out of 5 times on a 10-step task.โฆ
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-20 | โฑ๏ธ Read time: 12 min read
An 85% accurate AI agent fails 4 out of 5 times on a 10-step task.โฆ
#DataScience #AI #Python
๐ Escaping the SQL Jungle
๐ Category: DATA SCIENCE
๐ Date: 2026-03-21 | โฑ๏ธ Read time: 13 min read
Most data platforms donโt break overnight; they grow into complexity, query by query. Over time,โฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-21 | โฑ๏ธ Read time: 13 min read
Most data platforms donโt break overnight; they grow into complexity, query by query. Over time,โฆ
#DataScience #AI #Python
๐ A Gentle Introduction to Nonlinear Constrained Optimization with Piecewise Linear Approximations
๐ Category: DATA SCIENCE
๐ Date: 2026-03-21 | โฑ๏ธ Read time: 21 min read
Piecewise linear approximations are a practical way to handle nonlinear constrained models using LP/MIP solversโฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-21 | โฑ๏ธ Read time: 21 min read
Piecewise linear approximations are a practical way to handle nonlinear constrained models using LP/MIP solversโฆ
#DataScience #AI #Python
Forwarded from Machine Learning with Python
A collection of basic techniques for working with tensors in PyTorch โ for those who are starting to get acquainted with the framework and want to quickly master its fundamentals.
What's inside:
A good starting material to understand the mechanics of tensors before moving on to models and training.โถ๏ธ What tensors are and why they are neededโถ๏ธ Tensor initialization: zeros, ones, random, similar sizeโถ๏ธ Type conversion and switching between NumPy and PyTorchโถ๏ธ Arithmetic, logical operations, tensor comparisonโถ๏ธ Matrix multiplication and batch computationsโถ๏ธ Broadcasting, view(), reshape(), changing dimensionsโถ๏ธ Indexing and slicing: how to access parts of a tensorโถ๏ธ Notebook with code examples
tags: #useful
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