Quick Start Guide to Large Language Models (LLMs): Unit 2

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Quick Start Guide to Large Language Models (LLMs): Unit 2

Coursera · Advanced ·🧠 Large Language Models ·2mo ago

Key Takeaways

Explores optimization, fine-tuning, and AI alignment for large language models using OpenAI's fine-tuning APIs

Original Description

This course explores optimization, fine-tuning, and AI alignment. You'll gain hands-on experience with OpenAI's fine-tuning APIs, learning to customize models for specific needs across various domains, from research to business applications. Discover advanced prompt engineering techniques to refine and enhance model outputs, ensuring they align with human expectations and preferences. Through detailed case studies, you'll learn to create powerful recommendation engines using customized embeddings, outperforming standard solutions. Additionally, the course addresses the financial aspects of AI, demonstrating how to achieve superior performance without excessive costs.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
GPT-5.6 USA: Global Privacy & Competition Ripple
Understand the global implications of the US GPT-5.6 rollout on AI regulation and competition
Dev.to AI
📰
Integrating the OpenAI API the Right Way — Streaming, Rate-Limiting, and Prompt
Learn to integrate the OpenAI API effectively with streaming, rate-limiting, and prompt engineering for better performance and results
Dev.to · Ardhansu Das
📰
Building an NLP Pipeline That Actually Understands Offer Text (with spaCy)
Learn to build an NLP pipeline using spaCy that extracts structured data from offer text, improving understanding and analysis
Dev.to · Ardhansu Das
📰
Building an AI Web Crawler That Outputs LLM-Ready Content Chunks
Learn to build an AI web crawler that outputs LLM-ready content chunks, enabling efficient data preparation for large language models
Dev.to · Oaida Adrian
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →