umang sutharhere is my SRS document.
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Systems and methods for efficiently adapting large-scale transformer-based language models to specialised patent document generation tasks using Low-Rank Adaptation (LoRA) techniques without catastrophic forgetting of general-purpose capabilities.
A transformer-based neural network architecture for generating structured legal and patent documents from natural language invention descriptions, employing attention-based claim construction and prior-art retrieval augmented generation.
A retrieval-augmented generation pipeline that embeds patent claims into dense vector representations for semantic similarity search over large patent corpora, enabling contextual prior-art discovery in real time.
Tracking patent filing trends across your technology domain from the 1980s to present. Hover or click each decade to explore representative patents and key breakthroughs.
Simulated patent examiner analysis based on prior art retrieved from USPTO PatFT, AppFT, and Bing Search.
Most frequent technical terms across 26 patent search results. Click any keyword to filter results by that term.
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