Learn the key differences between Fine-tuning and RAG (Retrieval-Augmented Generation). Learn best practices for choosing the right strategy to optimize your AI model's performance.
Explore the EU AI Act, the world's first comprehensive regulation on artificial intelligence. Learn how it classifies AI risks, promotes transparency, and supports innovation.
Learn how to fine-tune open-source LLMs to get cost-effective, high-performance models. Create fine-tuning datasets, and follow steps to fine-tune and deploy models via an inference API using FinetuneDB.
Learn how to integrate OpenAI with Weights & Biases (W&B) to track, visualize, and manage your fine-tuning jobs. Discover the key metrics and best practices for successful model fine-tuning.
Learn about the costs of GPT-3.5 fine-tuning, token pricing, and inference rates in this guide. Explore the expenses and advantages of fine-tuning models.
Learn about LLM monitoring to understand how observability is the first step to successfully launch GenAI powered products and further align them with your goals.
