Summary
The video showcases a team call where participants introduce themselves and discuss diverse topics related to AI samples, tutorials, and model evaluation. They delve into updating features, running user tests, and exploring metrics in Valproject. The session also covers responsible AI practices, testing scenarios, and potential applications, while emphasizing feedback and documentation for continuous improvement.
Chapters
Introduction and Greetings
Introducing Team Members
Topics to be Discussed
Recap of Recent Event
AI Samples and Tutorials
Adding Content to AI Samples
Building Tools for Model Evaluation
Evaluating Different Models
Future Plans and Community Feedback
Analyzing User Tests in Valproject
Updating Tables and Output of Models
Exporting Metrics and Integration
User Story Capabilities and Generation
Prompt Evaluation and Tailored Scenarios
Model Groundedness and Data Relevance
AI Evaluation and Quality Metrics
Responsible AI and Harmful Content
Testing with Different Configurations
AI Testing Scenarios
Speech Command Integration
Feedback and Documentation
Command Line Applications
Conclusion and Future Plans
Introduction and Greetings
Participants exchange greetings and introductions at the beginning of the call.
Introducing Team Members
Team members introduce themselves, their roles, and briefly discuss the topics to be covered in the call.
Topics to be Discussed
An overview of the topics to be covered, including work updates and a recap of a recent event.
Recap of Recent Event
Discussion about a recent event, sharing highlights and encouraging viewers to explore further.
AI Samples and Tutorials
Details about AI samples and tutorials, including quick start tutorials and the use of semantic carol and Ashop ASK.
Adding Content to AI Samples
Discussion about adding more content and features to the AI samples, including tokens, embeddings, and local models.
Building Tools for Model Evaluation
Demonstration and discussion about tools for model evaluation, including code snippets and evaluation metrics.
Evaluating Different Models
Explanation of the process of evaluating different models, including ground truth evaluation and model comparisons.
Future Plans and Community Feedback
Discussion about future plans, community feedback, and potential additions to the AI samples repository.
Analyzing User Tests in Valproject
Running and analyzing user tests in Valproject, including performing various actions and showing metrics related to telemetry and user stories.
Updating Tables and Output of Models
Discussing the process of updating tables and outputting models in real-time in Valproject, focusing on user story analysis.
Exporting Metrics and Integration
Exploring options to export metrics, integrate with openTelemetry, and showcase data on dashboards in Valproject.
User Story Capabilities and Generation
Discussing user story capabilities, generation, coherence, relevance, and analyzing input data in Valproject.
Prompt Evaluation and Tailored Scenarios
Examining prompts for evaluation, tailored scenarios for user stories, and the importance of specific examples in Valproject.
Model Groundedness and Data Relevance
Analyzing model groundedness, data relevance, and the impact of user story data on models in Valproject.
AI Evaluation and Quality Metrics
Exploring AI evaluation, quality metrics, metrics dashboard, and custom evaluators in Valproject.
Responsible AI and Harmful Content
Discussing responsible AI practices, testing for harmful content, and examples of misleading AI applications in Valproject.
Testing with Different Configurations
Testing AI models with different configurations, evaluating coherence, relevance, and performance in Valproject.
AI Testing Scenarios
Exploring AI testing scenarios, evaluating models, and potential applications for specific AI models in Valproject.
Speech Command Integration
Discussing integrating speech commands, adapting models for evaluation, and exploring potential applications in Valproject.
Feedback and Documentation
Encouraging feedback, discussing model testing and modifications, and the importance of documentation in Valproject.
Command Line Applications
Exploring command line applications, utilizing Spectre in .NET, and showcasing unique functionalities for applications in Valproject.
Conclusion and Future Plans
Wrapping up the session, discussing future topics, and hinting at upcoming presentations in Valproject.
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