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Takes
September 14, 2026
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Aadhil Majeed
Prevent AI Agents from Leaking Sensitive Data with Fiddler Guardrails and LiteLLM
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Agentic AI
September 11, 2026
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Hubert Lu, Aadhil Majeed, Krishna Gade
Why Cheaper Models Cost More to Complete Coding Tasks
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August 19, 2026
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Aadhil Majeed and Rajesh Hegde
Server-Side Semantic Mapping for Consistent AI Observability Across Frameworks
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July 16, 2026
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Kevin Truong
See What GitHub Copilot is Actually Doing with Fiddler
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June 29, 2026
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Samikshan Bairagya
Automating Eval-Driven Development Workflow for Agentic Applications
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March 27, 2026
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Rajesh Hegde
Using GitHub to Integrate AI Agents into Your Dev Workflow
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August 12, 2025
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Rajesh Hegde
Technical Deep Dive: Achieving Scalable Deduplication in Fiddler AI with ClickHouse
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November 14, 2024
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Rajesh Hegde
Advanced Pytest Patterns: Harnessing the Power of Parametrization and Factory Methods
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September 26, 2024
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Rajesh Hegde
Using Pytest Fixtures to Elevate Product Feature Quality
Deep Dives
July 10, 2023
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Amal Iyer and Karen He
Evaluate LLMs Against Prompt Injection Attacks Using Fiddler Auditor
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Generative AI
May 30, 2023
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Murtuza Shergadwala
Making Image Explanations Human-Centric: Decisions Beyond Heatmaps
Deep Dives
April 20, 2023
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Josh Rubin
What is ChatGPT Thinking?
Deep Dives
February 9, 2023
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Murtuza Shergadwala
Human-Centric Design For Fairness And Explainable AI
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Predictive AI
February 6, 2023
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Bashir Rastegarpanah
Monitoring Natural Language Processing and Computer Vision Models, Part 3
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Predictive AI
February 1, 2023
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Ankur Taly
Expect the Unexpected: Why Model Robustness Matters
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Predictive AI
December 15, 2022
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Amal Iyer
Monitoring Natural Language Processing and Computer Vision Models, Part 2
Deep Dives
Predictive AI
October 3, 2022
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Bashir Rastegarpanah
Monitoring Natural Language Processing and Computer Vision Models, Part 1
Deep Dives
Predictive AI
August 1, 2022
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Murtuza Shergadwala
Detecting Intersectional Unfairness in AI: Part 2
Deep Dives
Predictive AI
May 16, 2022
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Murtuza Shergadwala
Measuring Data Drift with the Population Stability Index (PSI)
Deep Dives
April 4, 2022
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Murtuza Shergadwala
Detecting Intersectional Unfairness in AI: Part 1
Deep Dives
Predictive AI
May 13, 2021
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Avijit Ghosh
Measuring Intersectional Fairness
Deep Dives
February 5, 2021
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Malhar Jere
A Practical Guide to Adversarial Robustness
Deep Dives
May 14, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Geolocation in Mortgage Data
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Predictive AI
May 1, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Exploring Data From the Hmda
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Predictive AI
April 24, 2020
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Ankur Taly
[Video] AI Explained: What are Integrated Gradients?
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Predictive AI
March 20, 2020
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Ankur Taly
AI Explained Video Series: What are Shapley Values?
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Predictive AI
March 5, 2020
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Ankur Taly and Aalok Shanbhag
Understanding Counterfactual and Attribution Explanations in AI
Deep Dives
March 4, 2020
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Marissa Gerchick
Identifying Bias When Sensitive Attribute Data is Unavailable: Techniques for Inferring Protected Characteristics
Deep Dives
Predictive AI
August 13, 2019
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Dan Frankowski
Integrated Gradients vs SHAP: How Should You Explain Your Predictions?
Deep Dives
July 31, 2019
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Dan Frankowski and Ankur Taly
Causality in Model Explanations and in the Real World
Deep Dives
July 22, 2019
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Dan Frankowski
Debugging Predictions Using Explainable AI
Deep Dives
June 3, 2019
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Dan Frankowski
A Gentle Introduction to GA2Ms - A White Box Model
Deep Dives
May 8, 2019
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Dan Frankowski
Humans Choose - AI Does Not
Deep Dives
April 23, 2019
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Dan Frankowski
A Gentle Introduction to Algorithmic Fairness
Deep Dives
Predictive AI
