AI @ PLAY

In addition to working with clients on patenting a broad range of technology including machine learning and artificial intelligence frameworks, we are always looking to improve our processes and workflows using technology and familiarize ourselves with the latest developments.  Here are some examples of some recent experiments we have performed.

​Please keep in mind that these are experimental and not production ready code. Also, do not enter any confidential information.  Use is subject to the terms and conditions of this site as well as the Open AI API policy.

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This demonstrates an example of using a vector indexing of documents (in this instance the Trademark Manual of Examining Procedure).  Here LLAMA was used to create an index. You can then ask questions to the document.  This is an example to show how one can index their own set of documents. Results may then be passed to large language models (LLMs).

This demonstrates an example of using a vector indexing of documents (in this instance MPEP sections 700 and 2100).  Here LLAMA was used to create an index. You can then ask questions to the document.  This is an example to show how one can index their own set of documents. Results may be passed to large language models (LLMs).

The above application helps rewrite a patent application title or create one based on a description.  The intent is to create a patent title which complies with USPTO requirements.

The intent here is to take a short passage of test, identify nouns in the text and expand the description.  

The intent here is to extract patent citations from text and create links to patents for the extracted patents.

The intent here is to attempt to extract case citations from text.