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OpenAI, I don't know about the small model, but I'll give it to you for cheap ^^
Haebom
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Recently, OpenAI reported that the cost of linking GPT-4 could be reduced from 1/10 to 1/20 of its current cost. This is great news for multi-LLM services that utilize multiple LLMs (Large Language Models).
Background on the reduction of GPT-4 linkage fee
OpenAI added new features to its GPT-3.5-Turbo and GPT-4 models in June, cutting the price of the previous versions by a quarter, bringing the cost of inputs to $0.0015 per 1,000 tokens (the billing standard) and outputs to $0.002 per 1,000 tokens.
Why are you lowering the linkage fee now?
Market Competition: There are many different LLMs available, and competition is getting fiercer.
User growth: As GPT-4's usability expands, its user base is growing.
Technological advancements: Models are becoming more efficient and their costs are decreasing.
Current status and prospects of multi-LLM services
Multi-LLM services can be used for multiple purposes by utilizing multiple LLMs. These services include Stack AI, Rutton Technologies, Allganize, and SK Telecom in the US.
Why Multi-LLM is in the spotlight
Versatile: You can utilize multiple LLMs within one service, providing great flexibility.
Cost savings: You can reduce costs by efficiently managing multiple LLMs.
Evolving into a platform: As we run multiple LLMs, we are likely to evolve into AI platforms.
The reduction in the linkage fee of GPT-4 is expected to have a positive effect on multi-LLM services. This change will change the competitive landscape of the LLM market and increase the possibility of various services emerging. This is expected to ultimately provide better services to users.
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