LLM Accuracy, Performance, and Trade-Offs

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Large language models (LLMs) are game changers in AI, but achieving their impressive accuracy and performance benefits involves navigating some fascinating trade-offs. In this course, learn how to balance performance, model size, and computational resources and how larger models typically offer better performance on complex tasks. Next, explore how evaluating the trade-offs between model size, accuracy, and resource consumption is crucial, particularly when selecting between in-house and public LLMs. Finally, discover how key metrics like perplexity and F1 score play a role in determining the coherence and quality of the text these models generate. After completing this course, you will be able to apply best practices to choose the right LLM for your needs.