๐ I Finally Built My First AI App (And It Wasnโt What I Expected)
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-12 | โฑ๏ธ Read time: 14 min read
A beginner-friendly walkthrough of API calls, environment variables, and real-world AI infrastructure
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-12 | โฑ๏ธ Read time: 14 min read
A beginner-friendly walkthrough of API calls, environment variables, and real-world AI infrastructure
#DataScience #AI #Python
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๐ A Tale of Two Variances: Why NumPy and Pandas Give Different Answers
๐ Category: DATA SCIENCE
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 7 min read
Imagine you are analyzing a small dataset: You want to calculate some summary statistics toโฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 7 min read
Imagine you are analyzing a small dataset: You want to calculate some summary statistics toโฆ
#DataScience #AI #Python
๐ How to Build Agentic RAG with Hybrid Search
๐ Category: RAG
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 7 min read
Learn how to build a powerful agentic RAG system
#DataScience #AI #Python
๐ Category: RAG
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 7 min read
Learn how to build a powerful agentic RAG system
#DataScience #AI #Python
Forwarded from Machine Learning with Python
๐ Building our own mini-Skynet โ a collection of 10 powerful AI repositories from big tech companies
1. Generative AI for Beginners and AI Agents for Beginners
Microsoft provides a detailed explanation of generative AI and agent architecture: from theory to practice.
2. LLMs from Scratch
Step-by-step assembly of your own GPT to understand how LLMs are structured "under the hood".
3. OpenAI Cookbook
An official set of examples for working with APIs, RAG systems, and integrating AI into production from OpenAI.
4. Segment Anything and Stable Diffusion
Classic tools for computer vision and image generation from Meta and the CompVis research team.
5. Python 100 Days and Python Data Science Handbook
A powerful resource for Python and data analysis.
6. LLM App Templates and ML for Beginners
Ready-made app templates with LLMs and a structured course on classic machine learning.
If you want to delve deeply into AI or start building your own projects โ this is an excellent starting kit.
tags: #github #LLM #AI #ML
โก๏ธ https://t.me/CodeProgrammer
1. Generative AI for Beginners and AI Agents for Beginners
Microsoft provides a detailed explanation of generative AI and agent architecture: from theory to practice.
2. LLMs from Scratch
Step-by-step assembly of your own GPT to understand how LLMs are structured "under the hood".
3. OpenAI Cookbook
An official set of examples for working with APIs, RAG systems, and integrating AI into production from OpenAI.
4. Segment Anything and Stable Diffusion
Classic tools for computer vision and image generation from Meta and the CompVis research team.
5. Python 100 Days and Python Data Science Handbook
A powerful resource for Python and data analysis.
6. LLM App Templates and ML for Beginners
Ready-made app templates with LLMs and a structured course on classic machine learning.
If you want to delve deeply into AI or start building your own projects โ this is an excellent starting kit.
tags: #github #LLM #AI #ML
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๐ Why Care About Prompt Caching in LLMs?
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 11 min read
Optimizing the cost and latency of your LLM calls with Prompt Caching
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 11 min read
Optimizing the cost and latency of your LLM calls with Prompt Caching
#DataScience #AI #Python
๐ How Vision Language Models Are Trained from โScratchโ
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 13 min read
A deep dive into exactly how text-only language models are finetuned to see images
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 13 min read
A deep dive into exactly how text-only language models are finetuned to see images
#DataScience #AI #Python
โค3
๐ Personalized Restaurant Ranking with a Two-Tower Embedding Variant
๐ Category: MACHINE LEARNING
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 6 min read
How a lightweight two-tower model improved restaurant discovery when popularity ranking failed
#DataScience #AI #Python
๐ Category: MACHINE LEARNING
๐ Date: 2026-03-13 | โฑ๏ธ Read time: 6 min read
How a lightweight two-tower model improved restaurant discovery when popularity ranking failed
#DataScience #AI #Python
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๐ The Multi-Agent Trap
๐ Category: AGENTIC AI
๐ Date: 2026-03-14 | โฑ๏ธ Read time: 12 min read
Google DeepMind found multi-agent networks amplify errors 17x. Learn 3 architecture patterns that separate $60Mโฆ
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-14 | โฑ๏ธ Read time: 12 min read
Google DeepMind found multi-agent networks amplify errors 17x. Learn 3 architecture patterns that separate $60Mโฆ
#DataScience #AI #Python
๐ The Current Status of The Quantum Software Stack
๐ Category: QUANTUM COMPUTING
๐ Date: 2026-03-14 | โฑ๏ธ Read time: 8 min read
How do we program quantum computers today?
#DataScience #AI #Python
๐ Category: QUANTUM COMPUTING
๐ Date: 2026-03-14 | โฑ๏ธ Read time: 8 min read
How do we program quantum computers today?
#DataScience #AI #Python
๐ The 2026 Data Mandate: Is Your Governance Architecture a Fortress or a Liability?
๐ Category: DATA GOVERNANCE
๐ Date: 2026-03-15 | โฑ๏ธ Read time: 8 min read
Is your data strategy 2026-ready? Get a deep dive into the mandatory shift toward human-in-the-loopโฆ
#DataScience #AI #Python
๐ Category: DATA GOVERNANCE
๐ Date: 2026-03-15 | โฑ๏ธ Read time: 8 min read
Is your data strategy 2026-ready? Get a deep dive into the mandatory shift toward human-in-the-loopโฆ
#DataScience #AI #Python
๐ The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master
๐ Category: DATA SCIENCE
๐ Date: 2026-03-15 | โฑ๏ธ Read time: 17 min read
Master six advanced causal inference methods with Python: doubly robust estimation, instrumental variables, regression discontinuity,โฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-15 | โฑ๏ธ Read time: 17 min read
Master six advanced causal inference methods with Python: doubly robust estimation, instrumental variables, regression discontinuity,โฆ
#DataScience #AI #Python
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๐ Bayesian Thinking for People Who Hated Statistics
๐ Category: DATA SCIENCE
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 12 min read
You already think like a Bayesian. Your stats class just taught the formula before theโฆ
#DataScience #AI #Python
๐ Category: DATA SCIENCE
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 12 min read
You already think like a Bayesian. Your stats class just taught the formula before theโฆ
#DataScience #AI #Python
โค2
๐ Hallucinations in LLMs Are Not a Bug in the Data
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 10 min read
Itโs a feature of the architecture
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 10 min read
Itโs a feature of the architecture
#DataScience #AI #Python
โค2
๐ Follow the AI Footpaths
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 6 min read
Shadow AI and the desire paths of modern work
#DataScience #AI #Python
๐ Category: ARTIFICIAL INTELLIGENCE
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 6 min read
Shadow AI and the desire paths of modern work
#DataScience #AI #Python
โค1
๐ How to Build a Production-Ready Claude Code Skill
๐ Category: AGENTIC AI
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 11 min read
What I learned building and distributing my first Skill from scratch
#DataScience #AI #Python
๐ Category: AGENTIC AI
๐ Date: 2026-03-16 | โฑ๏ธ Read time: 11 min read
What I learned building and distributing my first Skill from scratch
#DataScience #AI #Python
๐ Introducing Gemini Embeddings 2 Preview
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 10 min read
One embedding model to rule them all
#DataScience #AI #Python
๐ Category: LARGE LANGUAGE MODELS
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 10 min read
One embedding model to rule them all
#DataScience #AI #Python
โค2
๐ How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment
๐ Category: DEEP LEARNING
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 18 min read
Most neuro-symbolic systems inject rules written by humans. But what if a neural network couldโฆ
#DataScience #AI #Python
๐ Category: DEEP LEARNING
๐ Date: 2026-03-17 | โฑ๏ธ Read time: 18 min read
Most neuro-symbolic systems inject rules written by humans. But what if a neural network couldโฆ
#DataScience #AI #Python
Forwarded from Machine Learning with Python
TOP RAG INTERVIEW.pdf
166 KB
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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
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https://t.me/CodeProgrammer
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