📄 HW 4 walkthrough with Phoenix (pre-recorded)
Resources
- ipynbhttps://github.com/Arize-ai/phoenix/blob/main/tutorials/ai_evals_course/ai_evals_hw4_solution.ipynb
Notes
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Channels
-
[
announcements
](/parlance-labs/evals/2025-3/channel?channelId=283916d6-d0ce-4b62-9af9-b308a8eceecf)
- [general
](/parlance-labs/evals/2025-3/channel?channelId=6aa0dbf0-46ed-47e7-9ae8-cbbb4db531c9)
- [intros
](/parlance-labs/evals/2025-3/channel?channelId=c4b50f08-c5b5-4f3f-a9bd-c9684d5c7b3d)
- [ðŸ’
questions
](/parlance-labs/evals/2025-3/channel?channelId=0458bb33-ed98-42cf-b593-4161ac4cd2cd)
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Tools Workshops: Arize, Braintrust, Truesight - Homework 4
📄
HW 4 walkthrough with Phoenix (pre-recorded)
Lesson 2
In this pre-recorded session, Priyan Jindal will discuss ways you can use Phoenix in the context of recipe bot to build solid prompts, generate synthetic datasets, and capture human annotations. We will also look at how Phoenix can be utilized for both open and axial coding for error analysis.
Notebook
https://github.com/Arize-ai/phoenix/blob/main/tutorials/ai_evals_course/ai_evals_hw4_solution.ipynb
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📄
Lesson 1
HW 4 walkthrough with Braintrust (pre-recorded)
](/parlance-labs/evals/2025-3/syllabus/modules/c65108?item=0a97f3056312810a)
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Lesson 2
HW 4 walkthrough with Phoenix (pre-recorded)
](/parlance-labs/evals/2025-3/syllabus/modules/c65108?item=c9d434ad3fb420df)
- [📄
Lesson 3
HW 4 walkthrough with Truesight (pre-recorded)
](/parlance-labs/evals/2025-3/syllabus/modules/c65108?item=1rqt3x7j181)
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