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Tuning Copilot
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Pi Scorer
Foundation models designed for scoring
Pi Ranking
Alpha
Customizable cross encoders for ranking
Pi Embedding
Alpha
Customizable embeddings for retrieval
Pi User Behaviour
Alpha
User engagement prediction models
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Pi Copilot
AI assistant for tuning your scorer
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Analyze data with your scorer
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Powerful, low overhead monitoring
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Create your scoring system
Transform product specs, code, and user data into scoring systems that effectively tell good apart from bad.
Examples File
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Learn principles
Your quality engineering assistant
Generate some metrics for a resume scorer
Here are your generated metrics
Analyzes sources
Extracts insights from usage data to determine what signals you're missing.
Brainstorms Signals
Determines what guardrails are needed for any goal you have in mind
Tunes scores
Tunes your final score based on stated requirements, and user feedback
Understand your requirements
Mine user data, PRDs, and system prompts
for requirements that actually matter.
Score subjective/objective criteria
Generate natural language questions and python code
to score subjective and objective criteria.
Understand your scorer
Explains scores and performance
by generating tests and conducting experiments
.
Tune to match user taste
Combine dimensions into a single score
tuned from product requirements and user preferences.
Follow best practices
Ensure your dimensions perform effectively, together.
Keeps them granular and independent.
Integrate instantly
Quickly get up and running by
generating your scorer's integration code.
Build your scoring spec in seconds
Tell the copilot about your application, with
PRDs
,
documentation
, and
system prompts
.
Refine your scoring system by having your copilot
create test cases
, and
edit the scorer
for failing cases.
Integrate
your scoring system into your code, or existing observability and eval tools.
Come back once you've collected more data, and
customize your scoring even further.
Build your scorer
Talk to an expert
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