Author(s): Lan Chu

Originally published on Towards AI.

Don’t just learn Data Science — do it! The best way to do Data science is to build real-world projects that spark your passion and truly resonate with you.

No matter where you are in your Data science journey, you can always roll up your sleeves, get your hands dirty and experiment with things. This helps you connect the dots and challenge your understanding.

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If you are new to the world of AI and LLMs and want to get your feet to the door, I think the following real-world projects (in order of complexity) are good gateways into the field. Even though prompt engineering is such an important aspect when working with (generative) AI models, I will skip it in this article.

Here is the agenda for today

· What to look for in AI Projects?· Project 1: Build a RAG chatbot to ask anything about books! 📚· Project 2: Build an autonomous Agents: everything-about-book 📚· Project 3: Train your own LLM (a song writer 🎶🎸🎹)· Project 4: Fine-tune a Bert model to understand legal texts 👩‍⚖️· Project 5: Model Evaluation

The term “artificial intelligence” was firstly used as early as the 1800s, though its occurrences were relatively minuscule. However, some ideas surrounding… Read the full blog for free on Medium.

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Published via Towards AI