Understanding Tokens and Context in Language Models
Language models like GPT-4 and GPT-3.5 offer versatile solutions for diverse tasks. OpenAI’s flagship models and their competitors, such as Anthropic’s Claude and Google’s PaLM, compete on efficiency, cost, and context handling. Choosing the right model depends on specific needs, whether it’s complex reasoning, quick responses, or specialized tasks like image generation or audio transcription.