Day 7/7 (final day!) of my AI Engineer series 🧵
AI Solutions Architect = the role that decides how EVERYTHING fits together.
Senior role. Big-picture thinking.
That's a wrap on 7 days of AI foundations 🎓
#AISolutionsArchitect#AIEngineer#TechCareers
Day 7/7 (final day!) of my AI Engineer series 🧵
AI Solutions Architect = the role that decides how EVERYTHING fits together.
That's a wrap on 7 days of AI foundations 🎓
#AISolutionsArchitect#AIEngineer#TechCareers
Day 6/7 of my AI Engineer series 🧵
AI Engineer vs ML Engineer:
ML Engineer → builds & trains custom models (fraud detection, forecasting), lives in MLOps.
Different lanes. Different skill stacks.
#MLEngineer#AIEngineer#MLOps
Day 5/7 of my AI Engineer series 🧵
AI Engineer vs Data Scientist — not the same job.
Data Scientist: extracts insight, builds predictive models, answers business questions.
DS = analysis. AI Eng = building/shipping.
#DataScience#AIEngineer#CareerAdvice
Day 6/7 of my AI Engineer series 🧵
AI Engineer vs ML Engineer:
ML Engineer → builds & trains custom models (fraud detection, forecasting), lives in MLOps.
Different lanes. Different skill stacks.
#MLEngineer#AIEngineer#MLOps
Day 5/7 of my AI Engineer series 🧵
AI Engineer vs Data Scientist — not the same job.
Data Scientist: extracts insight, builds predictive models
AI Engineer: builds AI-powered products
DS = analysis. AI Eng = building/shipping.
#DataScience#AIEngineer#CareerAdvice
```
1/ Why do some AI tools hallucinate and others don't?
Usually:
RAG. 🧵
2/ Base LLM = closed book exam. It answers from memory on
ly. RAG-powered LLM = open book exam. It looks things up first, then answers.
Day 2/7 of my AI Engineer series 🧵
AI vs ML vs Deep Learning — stop using these interchangeably.
AI = the goal (build intelligent systems)
ML = the approach (learn from data)
DL = the method (many-layered neural nets)
Pick the simplest tool that works.
#AI#MachineLearning
Day 4/7 of my AI Engineer series 🧵
What does an AI Engineer actually DO?
Core skills:
→ Prompt engineering
→ RAG + vector DBs
→ Agent orchestration
→ Evals
→ Production deployment
Software engineer + applied ML. That's the role.
#AIEngineer#LLM#RAG
Day 1/7 of my AI Engineer series 🧵
What is Artificial Intelligence, ?
It's systems that learn patterns from data instead of following fixed rules.
Everything you use today (Netflix recs, fraud detection, chatbots) = narrow AI.
General AI?
#AI#MachineLearning#AIEngineer
3 AI myths that are quietly wrecking your learning: 1. "AI understands what it's saying" — it doesn't 2. "Bigger model = always better" — it isn't 3. "Prompting is the whole skill" — it's the start
What is Agentic Workflow:
it is the Action Loop
An AI agent does not provide a single, static answer. It operates within a dynamic loop:
Perceive: The agent receives a query, a goal, or feedback from its environment (e.g., a "task execution" report).
How LLMs Learn ?
Answer: Artificial neural networks were loosely inspired by the human brain, Large Language Models (LLMs) and biological neurons learn through fundamentally different mathematical and biological mechanisms.
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