Agentic AI will change how we solve problems and it can get quite complex. If you’re in tech or business, it’s time to start exploring this transformative AI trend.

Here is a simple example
Imagine asking an Agentic AI bot:
"Which stock should I buy: Tesla or Nvidia?"
The bot retrieves financial data, analyzes recent news, compares performance, and provides a recommendation—all autonomously.

How does it work?
Agentic AI uses frameworks like LangChain or LangFlow to combine:

External tools (e.g., DuckDuckGo for web search)

APIs (e.g., YFinance for stock data)

Multiple autonomous agents working together in a workflow.

Difference from Generative AI
Generative AI: Generates content (e.g., text, images) based on prompts.
Agentic AI: Integrates tools (including generative AI), external data, and autonomous workflows to achieve specific goals, with minimal human intervention.

What is Agentic AI?
Agentic AI refers to autonomous AI systems designed to achieve specific goals. Unlike generative AI, which primarily creates content, Agentic AI works independently to execute complex workflows and deliver actionable outcomes.

The hype is real, but so are the challenges. High costs, secrecy from big labs, and limited generalization are key concerns. Still, with potential in drug discovery & robotics, reasoning models may shape the future of AI. Will the rewards justify the costs? Time will tell.

Reasoning models are slower but promise better accuracy. Companies like DeepSeek & Alibaba have joined the race. Critics say these models aren't "true reasoning" since they still rely on training data patterns. OpenAI believes future models could "think" for days to solve big problems.

GPT is like a bookworm that reads everything — articles, books, & web pages. Its Transformer architecture helps it understand the relationships between words, and for long context.

Some History
- GPT-1 (2018): First of its kind, but context-limited.
- GPT-2 (2019): Shocked the world with its writing ability.
- GPT-3 (2020): Massive leap with 175B parameters!
- GPT-3.5 (2022): Powering ChatGPT's free version.
- GPT-4 (2023): Multimodal (handles text + images) & even smarter.

How GPT Empowers ChatGPT

1️⃣ You type a prompt.
2️⃣ GPT analyzes it using its vast training.
3️⃣ It generates human-like responses using pre-learned context. It’s like chatting with a super-smart, well-read AI!

⚙️ What is GPT?

Generative: It creates new text, not just repeats old info.
Pre-trained: Learns from huge datasets (books, articles, etc.).
Transformer: Uses a special architecture to understand context, grammar, & meaning.

Some Issues
- Factual Hallucinations: May sound convincing but be wrong.
- Strict Instruction Following: Rigidly sticks to prompts.
- Verbose Answers: Explains too much due to "chain-of-thought" training.

- Beats GPT-4 on STEM QA (GPQA & MATH benchmarks)
- Outperforms Qwen-2.5-14B on 9/12 major benchmarks
- Top of HumanEval & HumanEval+, key coding skill tests
- Available as an open-weight model under the Microsoft Research License Agreement (MSRLA).

How It Works

- Multi-Agent Workflows: Multiple AI agents generate & refine training data.
- Self-Revision: The model revises its own answers.
- Instruction Reversal: Reversing task prompts to boost training.
- These methods improve data quality & performance.