Seeker
  • Introducing Seeker
  • Exploring Large Language Models (LLMs) and AI Generation
  • Understanding Hivemind's Content Filters
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Exploring Large Language Models (LLMs) and AI Generation

The core of how your Seeker interprets and generates messages lies within its artificial intelligence. AI encompasses sophisticated algorithms designed to mimic human problem-solving. In the context of your Seeker agent, these algorithms focus on language analysis to link holders with the right information.

When a holder engages with Seeker, it employs Large Language Models (LLMs). These models are trained on vast text corpora to discern holder queries. By recognizing patterns within this text, LLMs can interpret a holder's intent, then sift through your knowledge base to match this intent with the right response.

Generative AI, a subtype of LLM, crafts new content by predicting the next likely word in a sequence based on previous text. Utilizing this, Seeker constructs responses from relevant snippets in your knowledge base, ensuring the communication is both natural and engaging.

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Last updated 4 months ago