Open source large language models, while powerful and cost-effective, face limitations in their context windows compared to GPT-4. With the ability to handle only 500 to 1,000 tokens, these models may struggle with everyday natural language tasks that require more extensive context. Despite their smaller size, the potential for fine-tuning on a single GPU remains a significant advantage.
