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Intro
Troubleshooting and tracing traffic
Capturing traffic from other devices
Configuring Fiddler Everywhere to capture remote traffic
Setting HTTPS up to be decrypted
Determining your machine’s IP address
Scenario: A site is not behaving as expected on a client’s machine
Routing browser traffic
Working with an Echo service
Setting up the Port and machine connections
Reaching the IP address and port.
Looking at the next steps to route traffic.
Configuring the computer’s proxy settings
Working with traffic routed from a remote machine
Trusting the root certificate on the remote machine
Viewing certificates installed on a machine.
Importing certificates
Making the same request using HTTPS
Working with the machine running Fiddler Everywhere
Harnessing the power for other devices
Using Fiddler on your typical machine
Debugging when a client is on a remote device
Introductions
Fiddler AI Observability Platform for ML
AI Touches Your Entire Organization
Pre-production and Production Lifecycle
Image Explainability for Computer Vision
Deep Dive into Fiddler’s Four Pillars
Demo: Using Fiddler AI as a Data Scientist
Exploring Fiddler AI's Analyze Feature
Understanding Fiddler AI's Flexible Dashboards
ML Demo Overview
Fiddler AI Observability Platform for LLMOps
A Complete LLM Workflow
BreakBot Challenge
Understanding Bot Interactions and Traffic
Monitoring Challenges: PII and Toxicity
Setting Alerts for Toxic Responses and PII Leakages
Identifying and Analyzing Toxic Responses
Visualizing Macro-level Interactions with UMAP
Creating Custom Dashboards for Specific Models
Adding Custom Metrics for Monitoring
Closing Remarks