The LLM Engineer’s Handbook: From Foundations to Deployment (Podcast) скачать в хорошем качестве

The LLM Engineer’s Handbook: From Foundations to Deployment (Podcast)

🎙️ 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