Addressing the obvious drawbacks of LLM models with scrol.ai: Enhancing transparency and reliability
Introduction
Today I would like to expand what has been the main and obvious challenge in selling LLM based products to businesses.
LLM models, such as GPT-3, Chat GPT and GPT-4 have revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). While these models are capable of generating human-like text based on a given input, they're not without their drawbacks. Concerns about the accuracy, reliability, and transparency of AI-generated content have emerged as users increasingly depend on these models for various applications (recommended read here). We aim to address these issues by enabling users to search through uploaded documents and generate content while providing the exact source of the answer. In this blog post, we'll explore how to overcome some of the limitations of OpenAI models.
1. scrol.ai: The Premise and Product
We're building a platform that leverages existing LLMs and GPTs to enable users to search through and generate content from uploaded documents. By allowing users to upload templates and instructions (i.e., procedures), you can generate desired outcomes. This capability not only reduces administrative work in corporate environments but also expands the potential applications of AI-generated content.
2. Enhanced Transparency and Reliability
We address some of the main drawbacks of these models listed above by providing users with the exact source of the answer generated. This enhanced transparency results in several benefits:
- Increased trust in AI-generated content, as users can verify the source of the information.
- Improved accuracy and reliability, as users can ensure that the generated content is based on relevant and reliable sources.
- Greater customization and control over the generated content, as users can choose specific documents or sources to be used by the AI model.
3. With increased transparency we see some further Use Cases for our prodcut.
Apart from reducing administrative work and enhancing transparency, scrol.ai has several other potential applications:
1. Legal document analysis: help legal professionals analyze contracts, court decisions, and other legal documents, extracting key information and summarizing complex content.
2. Medical research: Healthcare professionals can search through and analyze medical research papers, identifying relevant studies and extracting critical findings.
3. Content marketing: Marketers can leverage our tool generate blog posts, social media updates, and other content based on uploaded documents or templates.
4. Education: Teachers and students can create study materials, summaries, and quizzes based on textbooks or other educational resources.
5. Customer support: Companies can utilize scrol.ai to develop AI-powered chatbots that provide accurate and reliable answers to customer inquiries, using uploaded documents as a knowledge base.
Conclusion
We hope to offer a promising solution to some of the limitations of OpenAI models by enhancing transparency and reliability. By allowing users to see the exact source of the generated content.
We look forward to seeing how our platform can help businesses and organizations leverage the power of AI.
Thank you and please share on your social media if you find our product interesting
Kind regards
vc
