Hello and welcome! It’s Daniel here, the author of LangChain for JavaScript Developers.
Today, I’m excited to share my interview with Hrishi Olickel, whom I discovered through his talks on AI integration, including The LLM Hacker’s Guide and A Solid Pattern to Build LLM Applications.
We talked about his journey into AI engineering, his work with multi-modal models, and his approach to learning.
💻 Mentioned Links
Below are the links mentioned during our talk:
- A Solid Pattern to Build LLM Applications
- LLMs: A Hackers Guide
- https://x.com/hrishioa
- https://olickel.com/
- https://huggingface.co/docs/transformers.js/en/index
🎙 Chapters and topics
Topics we covered and their timestamps:
- 0:00 – 1:24 – Hrishi Olickel Introduction
- 1:25 – 5:00 – Early Interactions with AI and LLMs
- 5:01 – 8:12 – Multimodal Models
- 8:13 – 11:03 – Singapore’s Role in AI
- 11:04 – 17:26 – Learning Paths and Prompting for AI Engineers
- 17:27 – 23:38 – Debugging and Building Systems with AI Models
- 23:39 – 30:24 – AI Agents: Reliability
- 30:25 – 35:21 – Embedded AI Models and Transformers.js
- 35:22 – 41:56 – Software Engineering Skills and Frameworks
- 41:57 – 45:00 – Closing
📖 Neural Networks from Scratch - Presale
I'm writing a book about the timeless foundational concepts of neural networks for JavaScript developers. Go from if-else to weights and biases by building tiny AI models from scratch!
📖 Neural Networks from Scratch - Presale
I'm writing a book about the timeless foundational concepts of neural networks for JavaScript developers. Go from if-else to weights and biases by building tiny AI models from scratch!