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OpenAI Playground is a cutting-edge web-based tool designed to facilitate the construction and evaluation of predictive language models. Unlike ChatGPT, which excels at understanding context and can produce high-quality content even with vague prompts, OpenAI Playground requires specific prompts and settings for better-quality outputs. The tool boasts many purpose-specific preset prompts, ensuring seamless customisation through adjustable parameters such as the model, response length, and temperature. OpenAI Playground also accommodates diverse base language models, allowing users to handpick the one that perfectly resonates with their preferred conversational style. OpenAI Playground's Pros: Preset options for different tasks, such as text-to-command and translation Suited for specific use cases where preset models and settings are needed OpenAI Playground's Cons: Requires specific prompts and settings for better-quality outputs It can be challenging to use if you're not familiar with LLMs OpenAI Playground's Pricing: OpenAI Playground offers a comprehensive pricing structure based on the number of tokens used. 1 word = 1 token For example, Chat, model gpt-3.5-turbo costs $0.002 for 1K tokens, while InstructGPT, model Davinci costs $0.0200 for 1K tokens.

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Different from a normal cup(pot) magnet, the U-channel holding magnet, also called the ferrite channel magnet, is not round-shaped, and it is rectangular bar shape. The composition structure blocks bar magnets housed in a u-shaped steel shell. The magnetic adhesive force of the block bar magnets is significantly enlarged by the steel shell, meantime the block bar magnets are protected by the steel shell and avoid being damaged.