Release/2.5.0 #1144
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Release/2.5.0 #1144
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Websites Changes in v2.1.0
updates web pages
adding workflow for github pages
websites updates with fixes
Website Updates for 2.4.0
…egradation analysis
…rabricks-using-azure-openai Fix/basic setup within datrabricks using azure openai
…sis in accuracy.py
…hance prediction handling for chat models, and update prompt management for flexibility.
…d HuggingFacePipeline classes
…fig class and remove unnecessary code in HuggingFacePipeline class
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
… and add evaluation method
…ground truth in DegradationAnalysis
…s accuracy calculation
…uestion-answering task evaluation
…curacy calculations
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…k-in-degradation_analysis-test feat: enhance DegradationAnalysis to support question-answering task
Chore/final website updates for 2.5.0
…icks and llms dependencies
…ypes in PromptConfig
…ate_Config notebook
Chore/final website updates
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📢 Highlights
We are thrilled to announce the latest release, packed with exciting updates and enhancements to empower your AI model evaluation and development workflows!
🔗 Spark DataFrames and Delta Live Tables Support
We've expanded our capabilities with support for Spark DataFrames and Delta Live Tables from Databricks, allowing seamless integration and efficient data processing for your projects.
🧪 Performance Degradation Analysis in Robustness Testing
Introducing Performance Degradation Analysis in robustness tests! Gain insights into how your models handle edge cases and ensure consistent performance under challenging scenarios.
🖼 Enhanced Image Robustness Testing
We've added new test types for Image Robustness to evaluate your vision models rigorously. Could you challenge your models with diverse image perturbations and assess their ability to adapt?
🛠 Customizable Templates for LLMs
Personalize your workflows effortlessly with customizable templates for large language models (LLMs) from Hugging Face. Tailor prompts and configurations to meet your specific needs.
💬 Improved LLM and VQA Model Functionality
Enhancements to chat and completion functionality make interactions with LLMs and Vision Question Answering (VQA) models more robust and user-friendly.
✔ Improved Unit Tests and Type Annotations
We've bolstered unit tests and type annotations across the board, ensuring better code quality, reliability, and maintainability.
🌐 Website Updates
The website has been updated with new content highlighting Databricks integration, including support for Spark DataFrames and Delta Live Tables tutorials.