August 2024 Release Notes
New Features
Prompt Studio: Multi-variants
Variant Creation: Design and test multiple prompt versions simultaneously to identify the most effective approach
Side-by-Side Comparison: View outputs from different prompt variants in a comparative interface for easy evaluation
Performance Metrics: Track response quality, generation time, and token usage across variants
Template Sharing: Save successful variants as templates for future use or team collaboration
Variant Branching: Create new variants based on existing ones to refine and iterate your prompts methodically
Workflow Builder
Document Parser Node
Multi-format Support: Process documents in various formats including PDF, DOCX, TXT, and more
Intelligent Extraction: Automatically identify and extract key information from structured and unstructured documents
Custom Parsing Rules: Define specific rules for extracting data based on document layout or content patterns
Metadata Handling: Extract and utilize document metadata in your workflows
OCR Integration: Convert image-based text to machine-readable format for processing
Loop Node
Iterative Processing: Process items sequentially through workflow segments
Collection Handling: Automatically iterate through arrays and collections of data
Conditional Loops: Set specific exit conditions to control loop execution
Loop Counters: Track iteration numbers and use them within your processing logic
Batch Processing: Handle large datasets efficiently by processing in manageable chunks
Parallel Node
Concurrent Execution: Process multiple tasks simultaneously for improved efficiency
Fork and Join: Split workflow execution and merge results when all parallel tasks complete
Load Balancing: Distribute processing load across multiple parallel executions
Error Handling: Configure how errors in parallel branches should affect overall workflow execution
Resource Management: Control the maximum number of concurrent executions to optimize performance
AI Helpers
Model Setting Advisor
Parameter Optimization: Receive intelligent recommendations for temperature, top_p, and other model parameters
Use Case Matching: Get parameter suggestions based on your specific workflow requirements
Cost-Performance Balancing: Find the optimal balance between model performance and token usage
Interactive Guidance: Answer questions about your needs to receive tailored setting recommendations
Setting Explanations: Learn about each parameter's impact on model behavior through clear explanations
Model Advisor
Task-Based Recommendations: Get suggestions for the most suitable AI model based on your specific task
Comparative Analysis: View side-by-side comparisons of different models' strengths and weaknesses
Budget Considerations: Receive recommendations that account for your cost constraints
Performance Metrics: Make informed decisions based on speed, quality, and cost metrics for each model
Specialized Capabilities: Identify models with particular strengths in areas like code generation, creative writing, or factual responses
Variable Generator
Automatic Detection: Identify potential variables in your prompts and workflows automatically
Naming Conventions: Generate consistent and descriptive variable names following best practices
Type Inference: Automatically detect and suggest appropriate data types for each variable
Default Values: Provide sensible default values based on variable context and usage
Documentation: Automatically generate descriptions for each variable to improve workflow clarity
These enhancements to Lleverage provide more powerful tools for prompt experimentation, document processing, complex workflow logic, and AI-assisted configuration. The multi-variant testing in Prompt Studio enables faster optimization, while the new workflow nodes handle more sophisticated data processing scenarios. Our AI helpers streamline configuration decisions, making it easier to get the most out of your AI models and workflows.
The Lleverage Team
Posted: August 15, 2024 Version: 0.2.0
Last updated