Intricacies Behind the AI Models
Dear reader, given your interest in leveraging AI, let‘s take a deeper look at the machine learning advancements powering ChatGPT and Perplexity AI models…
ChatGPT‘s Foundation – The GPT Architecture
As a quick refresher, ChatGPT relies on OpenAI‘s Generative Pretrained Transformer (GPT) architecture. GPT-3.5 specifically uses deep learning and 175 billion parameters to produce remarkably human-like text.
In fact, GPT-3.5 demonstrates state-of-the-art results on key language metrics like the perplexity score, which measures a model‘s uncertainty about next words. GPT-3.5 achieves average perplexity scores under 35, showing its strong language coherence and fluency compared to previous versions.
Perplexity AI – Optimized for Search
Comparatively, details on Perplexity AI‘s model architecture remain limited since they are still a startup. But we know Perplexity also leverages the GPT foundations and fine-tunes models to enhance search accuracy.
Perplexity likely trained models directly on search queries and results. This specialization for search allows it to outperform ChatGPT specifically for question-answering and aggregating reliable information.
Use Case Examples and Model Outputs
Let‘s analyze some sample outputs…
Creative Writing
For crafting an original poem, ChatGPT‘s strong grasp of human language shines through…
shows poetic sample from ChatGPT
By comparison, Perplexity AI fails at flexible text generation:
shows error message from Perplexity
Answering Factual Questions
However, for straightforward fact-based questions like "Who is the CEO of Pfizer?", Perplexity summons the answer instantly…
shows Perplexity fast answer
While ChatGPT does surface the correct response eventually, it lacks the concise certainty of Perplexity:
shows ChatGPT‘s verbose query response
The Latest Data and Market Landscapes
Industry reports show conversational AI remains red hot across both consumer and enterprise domains, with GPT models like ChatGPT leading the way…
provides relevant charts on adoption, funding, use cases
However, enhanced search also represents an untapped $200B+ opportunity, especially if combined with strengths of language models…
data on growth in search, opportunities for AI
Bringing search and conversation together could unlock new ways of interacting with information!
Concluding with Next Steps
I hope mapping out the advanced technology, use cases and market opportunities gives you greater clarity, dear reader! Don‘t hesitate to reach out if you have any other questions on leveraging AI.
Together, let‘s continue exploring the art of possible with models like ChatGPT and Perplexity AI!
