Large language models (LLMs) have gained popularity in recent years, with Google Bard and ChatGPT being two of the most well-known. While both systems generate human-quality text, key differences exist between them, particularly when it comes to legal and privacy concerns. This article will provide a brief overview of their technical differences and delve deeper into the legal implications of using these two tools.
Functional and Technical Differences
Google Bard is known for being more accurate, relevant, and readable, while ChatGPT is more accessible with both free and paid tiers. Both tools can be reliable for rough drafts and structured data but should be used cautiously for sensitive or legally-binding tasks.
Legal and Privacy Concerns
Internet-connected chatbots, including Bard and ChatGPT, contain vulnerabilities that make them incompatible with strict privacy expectations. Data processing and storage practices can lead to potential abuse of user-generated content and copyrighted material. Furthermore, neither tool should be considered entirely reliable, particularly in areas of unstructured data and untested information.
Privacy Protection Comparison
While Google Bard claims to be more privacy-protecting, it requires users to be logged into their Google account, potentially allowing Google to associate user data across services. ChatGPT, on the other hand, has experienced data breaches, but its public development and API availability make it more accessible.
Alternatives and the Future of Language Models
As alternatives to Bard and ChatGPT, other language models could offer improved privacy protection and legal compliance. For instance, Privacy AI’s Private GPT meticulously extracts PII and sensitive data before sending it to ChatGPT, maintaining better privacy for users. Moving forward, developers and users alike should take privacy concerns seriously when engaging with LLMs.