LLM API Costs Widget

LLM API Costs Widget is a helpful tool for managing and keeping an eye on the costs of using Large Language Model APIs. It is great for developers and users who run these models on their own devices like iPads and MacBooks.

Benefits

One big plus of using LLM API Costs Widget is saving money. By running LLMs on your own device, you avoid the high costs of special GPUs or renting cloud GPUs. This means you use the hardware you already have, like a MacBook Pro with Apple Silicon, which saves you extra costs and rental fees. Also, running models on your own device gives you better privacy and the freedom to try things out without worrying about API usage limits. The widget helps you tweak models with your personal data, creating special assistants just for you without the high costs of API based tweaking.

Use Cases

LLM API Costs Widget is perfect for developers and users who want to handle their AI projects better. It is especially good for those who run LLMs on their personal devices. The widget can help watch and improve memory use, which is important for running these models well. It also offers a cost effective way to tweak models, making it ideal for creating custom AI assistants. Whether you are a developer making a new chat app or a user wanting to improve your AI projects, this widget has a practical solution.

Vibes

Users are excited about running LLMs on their iPads, noting the ease and cost savings of this method. But there are some things that could be better. For example, not being able to edit responses or try again can be frustrating, especially with models that may not work perfectly the first time. Also, users want features like an indicator for the current context size and clearer explanations for some controls.

Additional Information

Running LLMs on your own device is a big change in how AI is used in projects. It gives you the freedom to try things out, keeps your data private, and shows surprising performance. As open source models get better, running models on your own device will become a key part of AI apps, balancing cost, privacy, and what the models can do.