© Copyright Algolabs 2023.
Website design and development by Tellable
Menu
SharpGPT – ChatGPT for Enterprise
Sharp AI search is AlgoLab’s novel combination of information retrieval system with pre-trained transformer-based learning models. Sharp can ingest a large corpus of open domain documents of various file formats like txt, pdf, doc, ppt, json, csv, xlsx, and html that are stored in a local / remote folder, or in a document repository like SharePoint. It can crawl web content from other sources like WordPress API, direct weblinks, and online and offline videos.
It uses Large Language Models to generate summarized response with citation deep links to page section or video time slice. The engine can be tuned for a specific corpus without the need to write fresh code.
Technology stack used: Python, Solr, Transformer models, LLM’s (OpenAI as well as Open source)
Challenges in ChatGPT for the Enterprise:
Content volume & variety
Understanding enterprise specific context
Trustworthiness of response, Hallucination
Retraining is Time-consuming, resource-intensive & expensive
Security concerns
The solution > Response Engineering
The solution >
Response Engineering
Content extraction
Segmentation
Entity Extraction
Data Augmentation
Word embeddings
Information Retrieval
Vector search
Similarity Measure
Zero Training
Domain customisation
Prompt Engineering
Transformer models
Large Language Models
Response Ranking
Feedback loop
Explainability
Challenges in ChatGPT for the Enterprise:
Content volume & variety
Understanding enterprise specific context
Trustworthiness of response, Hallucination
Retraining is Time-consuming, resource-intensive & expensive
Security concerns
The solution > Response Engineering
Content extraction
Segmentation
Entity Extraction
Data Augmentation
Word embeddings
Information Retrieval
Vector search
Similarity Measure
Zero Training
Domain customisation
Prompt Engineering
Transformer models
Large Language Models
Response Ranking
Feedback loop
Explainability
