Early tests suggest that Perplexity’s online LLMs match or exceed the capabilities of leading proprietary LLMs like GPT-3.5 in terms of robustness, helpfulness, and knowledge across academic subjects. The models are publicly accessible via Perplexity’s API and Labs web interface, allowing developers to integrate the technology into their applications and websites. The launch of these models is seen as a significant step towards the democratization of AI, providing access to the latest web information and insights, and leveling the playing field between large tech firms and smaller organizations seeking to benefit from AI.
Key takeaways:
- Perplexity, a San Francisco-based startup, has launched two new online large language models (LLMs) named pplx-7b-online and pplx-70b-online, which can provide up-to-date information and minimize the generation of inaccurate facts.
- These models can tap into the latest internet information to generate responses, making them capable of answering queries based on recent events or data, unlike offline LLMs like GPT-3.5.
- Early testing indicates that Perplexity’s online LLMs match or exceed the capabilities of leading proprietary LLMs like GPT-3.5 in terms of robustness, helpfulness, and knowledge across academic subjects.
- The models are publicly accessible via Perplexity’s API and Labs web interface, marking a significant step towards the democratization of AI, according to Perplexity CEO Aravind Srinivas.