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HomeVenture CapitalUnlocking Perception into LLM-Based mostly Functions by @ttunguz

Unlocking Perception into LLM-Based mostly Functions by @ttunguz



Giant-language fashions have remodeled how thousands and thousands work together with merchandise : from buyer assist to code technology to authorized doc evaluation.

These new engagement fashions invite customers by a meaningfully totally different product journey. Each software now speaks English. Understanding consumer habits is crucial to constructing nice merchandise.

How ought to a product supervisor gauge the client expertise? A number of new challenges come up :

  • First, the fashions are non-deterministic which suggests typically the identical query phrased a bit in another way produces sudden outcomes.
  • Second, customers can enter something they like which may result in mannequin drift & sudden outputs doubtlessly together with would possibly embrace PII (personally identifiable data) or different delicate content material.
  • Third, how ought to a PM take into consideration the consumer journey by a dialog? What’s a profitable interplay? It’s not easy clicking by 5 screens.

Context.ai is a product analytics platform for LLM-powered purposes. Context.ai provides product builders an understanding of how customers interact with their merchandise and visibility into product efficiency, to allow them to construct higher experiences.

Context.ai detects the subjects of conversations ingested for analytics, after which charges the consumer satisfaction for every subject. Product builders can perceive how customers navigate their product and determine stronger or weaker product efficiency areas.

Within the video, a PM navigates by the UI to find the most well-liked themes, delve by particular person transcripts. Context additionally allows blocking & filtering of specific subjects, tracks specific key phrases , & manages PII.

Context.ai is built-in with Langchain to simplify deployment.

Once we met Henry & Alex, the co-founders of Context, we met a crew who had labored on among the largest merchandise globally, together with managing conversations & security on YouTube & engaged on a few of Google’s most vital APIs. Their backgrounds, working to unravel related issues, map effectively to serving to PMs perceive the consumer journey by new LLM-enabled merchandise.

We’re thrilled to co-lead Context.ai’s seed with Google Ventures. As LLMs & chat turn into a predominant new UX, instrumenting the consumer expertise will turn into important to transport nice merchandise.

When you’re constructing an LLM-enabled product & seeking to perceive consumer habits & enhance these journeys, attempt Context.ai.

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