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!