Praveen Kumar Moses

Certified GenAI Engineer | Backend Architect | AI Evangelist | Building Scalable High-Traffic Platforms for 12+ Years

[OpenAI @OpenAI]

This is GPT-6 Astra.

Anything you can do on a computer, Astra can do for you. Fast.

[Praveen Kumar Moses @itspkm]

How Does Prompt Engineering Work?

Prompt engineering is the process of designing clear and effective instructions so an LLM can produce better, more useful responses.

[Praveen Kumar Moses @itspkm]

What is a Context Window?

An LLM cannot process an unlimited amount of information at once. The amount of text it can consider in a single interaction is called its context window.

[Praveen Kumar Moses @itspkm]

What is Self-Attention?

Self-attention is one of the key mechanisms that allows a Transformer to understand how words relate to each other within a sequence.

[Praveen Kumar Moses @itspkm]

What is a Transformer?

Transformers are the core architecture behind modern Large Language Models (LLMs).

[Praveen Kumar Moses @itspkm]

I recently interviewed at a top MNC. The technical discussion went well, but when asked to code in a plain text editor, I struggled to recall syntax and solve a simple problem.

AI makes us faster, but don't let it replace your coding fundamentals. Keep practicing.

[Praveen Kumar Moses @itspkm]

What are Embeddings?

Computers don't understand words—they understand numbers. Embeddings are what bridge the gap between human language and machine understanding.

[Praveen Kumar Moses @itspkm]

What is Tokenization?

Before an LLM can understand your prompt, it must first break the text into smaller pieces. This process is called tokenization.

[Praveen Kumar Moses @itspkm]

How Does an LLM Work?

Large Language Models (LLMs) may seem complex, but their core workflow is surprisingly straightforward.

[Praveen Kumar Moses @itspkm]

RAG is one of the most misunderstood AI terms.

Without RAG,
AI answers from training.

With RAG,
AI first searches your data, then answers.

That's why companies use it.

Follow @itspkm for simple AI concepts explained daily.

#GenAI #RAG

[Praveen Kumar Moses @itspkm]

Everyone says "Learn AI."

But they skip the foundation.

Python
→ APIs
→ SQL
→ Machine Learning
→ LLMs
→ RAG
→ AI Agents

Strong basics beat shortcuts.

Follow @itspkm for simple AI concepts explained daily.

#AI #Python

[Praveen Kumar Moses @itspkm]

What AI concept confused you when you first started learning?

[Praveen Kumar Moses @itspkm]

Most people think ChatGPT is AI.

It isn't.

ChatGPT is an application.

The AI behind it is an LLM.

Just like Chrome isn't the Internet.

#AI #LLM

[Praveen Kumar Moses @itspkm]

Which skill is more valuable in 2026?

❤️ DevOps
🔁 MLOps

Or are you learning both?

[Praveen Kumar Moses @itspkm]

⚙️ DevOps vs MLOps

🔹 DevOps = Builds & deploys software.
🔹 MLOps = Builds, deploys & manages ML models.

Think of it as:
🏭 Factory vs 🤖 Smart Factory

Use DevOps for software.
Use MLOps for AI systems.

#DevOps #MLOps #AI #MachineLearning #DataEngineering

[Praveen Kumar Moses @itspkm]

What's your preference?

❤️ Data Warehouse
🔁 Data Lake

Or do you use both together in your data platform?

[Praveen Kumar Moses @itspkm]

📦 Data Warehouse vs Data Lake

🔹 Data Warehouse = Stores processed data.
🔹 Data Lake = Stores raw data.

Think of it as:
📚 Library vs 🌊 Lake

Use Data Warehouses for reporting.
Use Data Lakes for AI, ML, and big data.

#DataEngineering #DataWarehouse #DataLake #BigData #AI

[Praveen Kumar Moses @itspkm]

🤖 Chatbot vs Virtual Assistant

🔹 Chatbot = Answers.
🔹 Virtual Assistant = Acts.

Think of it as:
👩‍💼 Receptionist vs 📅 Secretary

Chatbots talk.
Virtual Assistants do.

#AI #Chatbot #VirtualAssistant

[Praveen Kumar Moses @itspkm]

🤖 AI Copilot vs AI Agent

🔹 Copilot = Assists you.
🔹 Agent = Acts for you.

Think of it as:
🚗 Co-driver vs 🚘 Self-driving car

Use Copilots for assistance.
Use Agents for automation.

#AI #AIAgent #AICopilot

[Praveen Kumar Moses @itspkm]

🧠 Neural Networks vs LLMs

🔹 Neural Networks = Foundation of modern AI.
🔹 LLMs = Neural Networks built for language.

Think of it as:
🏎️ Engine vs 🚗 Sports Car

All LLMs are Neural Networks, but not all Neural Networks are LLMs.

#AI #LLM #MachineLearning