#llm #generativeai #costreduction #improveperformance
While the initial hype surrounding LLMs is settling, enterprises are shifting their focus towards practical AI deployment with cost-effectiveness in mind.
Today, we'll delve into the world of optimizing enterprise AI budgets, specifically focusing on Large Language Models (LLMs). Generative AI and LLMs are becoming the key differentiators of modern business operations. While the initial hype surrounding LLMs is settling, enterprises are shifting their focus towards practical AI deployment with cost-effectiveness in mind.
This video will equip you with five key techniques to reduce LLM implementation costs:
1. Choosing the most suitable foundation model.
2. Fine-tuning for specific use cases.
3. Model compression for efficient deployment.
4. Inference optimization for faster processing.
5. Optimizing resource utilization for cost savings.