Guided Generation of Patent Specifications with LLMs
Jun 18, 2024
Let's talk about the future of patent specifications. Large Language Models (LLMs) are game-changers, however they have a well-known tendency to stray off the pitch. This is where 'guided generation' comes in, ensuring that your outputs are as meticulously crafted as a micro-brewery small batch beer.
What is Guided Generation?
Think of guided generation as the autopilot for a patent draft. It's about steering the model to produce exactly what we need, down to the tiniest detail. We need tools like:
- Regex: to ensure parts of the text match specific patterns.
- JSON Schemas: to ensure the JSON data is well structured.
- Context-Free Grammars (CFGs): to define the structures and sequences allowed in the text.
Steps for Guided Generation in Patent Specifications
1. Define the Structure: Map out the sections we need—Title, Abstract, Background, Summary, Detailed Description, Claims, and Drawings.
2. Develop Grammar and Schema: Create a CFG and JSON schema to dictate the structure and format of each section.
3. Integrate with LLM: Use tools like Guidance, Outlines, and llama.cpp to enforce these structures during text generation.
4. Refine and Validate: Continuously refine and validate the outputs to ensure they meet our high standards.
JSON Schemas
JSON schemas are essential for maintaining structured data, especially for the technical aspects of a patent. They can define the structure of technical specifications, ensuring all necessary components are included and correctly formatted.
Context-Free Grammars (CFGs)
Context-Free Grammars (CFGs) allow us to define a set of production rules for generating structured sentences. CFGs are excellent for generating sentences or text that follows a specific set of grammatical rules. For patent specifications, this can ensure sections like the abstract, background, and detailed descriptions follow a logical and consistent format.
Templates
Templates ensure consistent formatting across documents. For patent specifications, templates can be used to ensure that sections like the abstract, claims, and detailed descriptions follow a standard structure.
Entities
Entity recognition ensures that specific components like inventor names, dates, and technical terms are correctly identified and formatted in the patent document.
Conclusion
Guided generation is the key to unlocking precise and structured content from LLMs, making it perfect for generating detailed documents like patent specifications. With these tools, we can push the boundaries of what's possible and Patently Create with unmatched accuracy and efficiency.
Let's keep innovating and pushing forward. The future is ours to build, one patent at a time.
What is Guided Generation?
Think of guided generation as the autopilot for a patent draft. It's about steering the model to produce exactly what we need, down to the tiniest detail. We need tools like:
- Regex: to ensure parts of the text match specific patterns.
- JSON Schemas: to ensure the JSON data is well structured.
- Context-Free Grammars (CFGs): to define the structures and sequences allowed in the text.
Steps for Guided Generation in Patent Specifications
1. Define the Structure: Map out the sections we need—Title, Abstract, Background, Summary, Detailed Description, Claims, and Drawings.
2. Develop Grammar and Schema: Create a CFG and JSON schema to dictate the structure and format of each section.
3. Integrate with LLM: Use tools like Guidance, Outlines, and llama.cpp to enforce these structures during text generation.
4. Refine and Validate: Continuously refine and validate the outputs to ensure they meet our high standards.
JSON Schemas
JSON schemas are essential for maintaining structured data, especially for the technical aspects of a patent. They can define the structure of technical specifications, ensuring all necessary components are included and correctly formatted.
Context-Free Grammars (CFGs)
Context-Free Grammars (CFGs) allow us to define a set of production rules for generating structured sentences. CFGs are excellent for generating sentences or text that follows a specific set of grammatical rules. For patent specifications, this can ensure sections like the abstract, background, and detailed descriptions follow a logical and consistent format.
Templates
Templates ensure consistent formatting across documents. For patent specifications, templates can be used to ensure that sections like the abstract, claims, and detailed descriptions follow a standard structure.
Entities
Entity recognition ensures that specific components like inventor names, dates, and technical terms are correctly identified and formatted in the patent document.
Conclusion
Guided generation is the key to unlocking precise and structured content from LLMs, making it perfect for generating detailed documents like patent specifications. With these tools, we can push the boundaries of what's possible and Patently Create with unmatched accuracy and efficiency.
Let's keep innovating and pushing forward. The future is ours to build, one patent at a time.
What is Guided Generation?
Think of guided generation as the autopilot for a patent draft. It's about steering the model to produce exactly what we need, down to the tiniest detail. We need tools like:
- Regex: to ensure parts of the text match specific patterns.
- JSON Schemas: to ensure the JSON data is well structured.
- Context-Free Grammars (CFGs): to define the structures and sequences allowed in the text.
Steps for Guided Generation in Patent Specifications
1. Define the Structure: Map out the sections we need—Title, Abstract, Background, Summary, Detailed Description, Claims, and Drawings.
2. Develop Grammar and Schema: Create a CFG and JSON schema to dictate the structure and format of each section.
3. Integrate with LLM: Use tools like Guidance, Outlines, and llama.cpp to enforce these structures during text generation.
4. Refine and Validate: Continuously refine and validate the outputs to ensure they meet our high standards.
JSON Schemas
JSON schemas are essential for maintaining structured data, especially for the technical aspects of a patent. They can define the structure of technical specifications, ensuring all necessary components are included and correctly formatted.
Context-Free Grammars (CFGs)
Context-Free Grammars (CFGs) allow us to define a set of production rules for generating structured sentences. CFGs are excellent for generating sentences or text that follows a specific set of grammatical rules. For patent specifications, this can ensure sections like the abstract, background, and detailed descriptions follow a logical and consistent format.
Templates
Templates ensure consistent formatting across documents. For patent specifications, templates can be used to ensure that sections like the abstract, claims, and detailed descriptions follow a standard structure.
Entities
Entity recognition ensures that specific components like inventor names, dates, and technical terms are correctly identified and formatted in the patent document.
Conclusion
Guided generation is the key to unlocking precise and structured content from LLMs, making it perfect for generating detailed documents like patent specifications. With these tools, we can push the boundaries of what's possible and Patently Create with unmatched accuracy and efficiency.
Let's keep innovating and pushing forward. The future is ours to build, one patent at a time.