If you have your own account with OpenAI, Azure OpenAI or have installed a local LLM, ClaimMaster lets you pass your API account information for completing GPT\/LLM prompts using your private GPT models (you’ll incur your own costs for the generated text). You may find this option beneficial as you’ll be able to use your custom end-points (Azure) or more advanced GPT models (ClaimMaster currently uses gpt-4o by default), as well as set the max limit on the tokens to generate more text than allowed ClaimMaster’s default settings.<\/p>\n\n\n\n
In addition, you can connect ClaimMaster to a local LLM, so that your data remains completely private and is not sent to the cloud for processing. Note that doing so requires you to install a program, such as Ollama<\/a>, LM Studio<\/a> or GPT4All<\/a>, that can execute quantized\/compressed LLMs on your computer. While running LLMs locally might be slower and generates less finessed text than OpenAI GPT, for many cases it can be \u201cgood enough,\u201d especially when used for re-writing existing text. In addition, open source LLMs are improving quickly and newer LLM models, such as Meta’s LLama3 are said to rival GPT. So if you have data privacy concerns about cloud-based OpenAI\/Azure GPT applications, using such a local LLM in combination with ClaimMaster is an excellent alternative to GPT that lets you have a completely private AI-enhanced patent drafting solution. It\u2019s free, secure, and lets you access a number of powerful open-source LLMs to help with patent drafting. All you really need is a reasonably modern PC to run Ollama smoothly.<\/p>\n\n\n\n