The LLM Engineer’s Handbook: From Foundations to Deployment (Podcast)
Автор: Zoe, PhD & AI
Загружено: 2025-09-04
Просмотров: 86
Описание:
🎙️ The LLM Engineer’s Handbook: From Foundations to Deployment | Podcast Episode
In this episode, we dive into “The LLM Engineer’s Handbook: From Foundations to Deployment” — a practical guide for anyone looking to understand, build, and deploy Large Language Models (LLMs). If you’re a developer, researcher, or AI enthusiast, this podcast will help you grasp the essentials of working with LLMs in real-world applications.
🔹 What You’ll Learn in This Podcast:
• Foundations of Large Language Models (LLMs)
• Key concepts in training and fine-tuning
• Tools, frameworks, and platforms for LLM development
• Best practices for prompt engineering & evaluation
• Deployment strategies for production-ready AI systems
• Ethical considerations and responsible AI practices
📌 Perfect for: AI engineers, machine learning practitioners, data scientists, researchers, and tech enthusiasts who want to bridge the gap between theory and hands-on implementation.
⏱️ Timestamps:
00:00 – Introduction
02:10 – Why LLMs Matter
05:30 – Core Foundations of LLMs
12:00 – Fine-tuning & Prompt Engineering
20:45 – Tools & Frameworks for LLMs
28:15 – Deployment in Production
35:00 – Challenges & Ethical Considerations
42:00 – Final Thoughts
✨ Next Steps:
👉 Subscribe for more podcasts on AI, LLMs, and Machine Learning
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