Hey! 👋 Let me share my AI journey with you - it's been quite a ride! I started with traditional ML and NLP, and now I'm deep into the exciting world of generative AI.

My ML & NLP Background

Back in the day, I cut my teeth on Natural Language Processing. It was fascinating stuff - working with text classification, sentiment analysis, and all that jazz. I remember spending hours fine-tuning models and getting excited about even small improvements in accuracy.

The Neural Network Days

Remember when CNNs were the hottest thing in town? Here's a little visualization of what we were working with:

I spent a good chunk of time understanding these architectures. It's wild to think how far we've come from these "simpler" times!

The Evolution to Modern AI

Deep Learning Journey

The transition from traditional ML to deep learning was eye-opening. Here's what really clicked for me:

• Started with basic neural nets
• Moved to more complex architectures
• Finally dove into transformers (mind-blown 🤯)

LLM Adventure

These days, I'm all about Large Language Models. It's crazy how different it is from my NLP days! Now we're dealing with:

Recent Experiments

I've been playing around with some really cool stuff:

Fine-tuning Adventures

Got my hands dirty with model fine-tuning. It's amazing how you can take these massive models and teach them new tricks! Some highlights:

• LoRA adaptations
• Custom dataset creation
• Hyperparameter tuning (the endless quest for perfect settings)

RAG Implementation

Retrieval-Augmented Generation has been a game-changer. I've built systems that can:

// A simple RAG example I worked with
async function enhancedResponse(query: string) {
  const relevantDocs = await vectorDB.search(query);
  const enhancedPrompt = `Context: ${relevantDocs.join('\n')}
  Question: ${query}`;
  return await llm.generate(enhancedPrompt);
}

Vercel AI Adventures

The Vercel AI SDK has been a revelation! Here's what I've learned:

• Stream handling is so much cleaner now
• Edge runtime deployment is a breeze
• The AI components make integration super smooth

I've been using their useCompletion and useChat hooks - they're seriously game-changing for AI web apps.

What's Next?

I'm super excited about:

• Multimodal models (text + vision is mind-blowing)
• Agent systems (they're getting scarily smart)
• Better RAG architectures
• More efficient fine-tuning methods

Resources I Swear By

These have been game-changers for me:

1. Vercel AI Docs (seriously, they're gold!)
2. AI Engineering Discord communities
3. Hands-on projects (nothing beats building stuff)
4. Twitter AI community (yeah, I'm one of those people now 😅)

This field moves crazy fast, and I'm learning something new literally every day. Hit me up if you want to geek out about any of this stuff!