Fine-Tuning LLMs for Text Generation

  1. Preparation for Fine-Tuning
    1. Task Definition and Objective Setting
      1. Identifying Specific Use Cases
        1. Style and Tone Adaptation
          1. Formal vs Informal Language
            1. Brand Voice Consistency
              1. Writing Style Emulation
              2. Domain-Specific Knowledge Integration
                1. Technical Terminology
                  1. Industry-Specific Content
                    1. Specialized Vocabulary
                    2. Structured Output Generation
                      1. JSON Formatting
                        1. XML Formatting
                          1. Tabular Data Generation
                            1. List and Enumeration Tasks
                            2. Instruction Following Enhancement
                              1. Step-by-Step Guidance
                                1. Task Completion Instructions
                                  1. Multi-Step Reasoning
                                  2. Dialogue and Conversation Systems
                                    1. Multi-Turn Conversations
                                      1. Persona Consistency
                                        1. Context Management
                                          1. Response Appropriateness
                                        2. Success Criteria Establishment
                                          1. Quantitative Metrics Definition
                                            1. Qualitative Assessment Standards
                                              1. Performance Benchmarks
                                                1. User Acceptance Criteria
                                                  1. Business Objective Alignment
                                                2. Dataset Curation and Preparation
                                                  1. Data Sourcing Strategies
                                                    1. Public Dataset Utilization
                                                      1. Benchmark Datasets
                                                        1. Academic Datasets
                                                          1. Open Source Collections
                                                            1. Licensing Considerations
                                                            2. Proprietary Dataset Creation
                                                              1. Data Collection Workflows
                                                                1. Annotation Guidelines
                                                                  1. Quality Control Processes
                                                                    1. Labeling Consistency
                                                                  2. Data Cleaning and Preprocessing
                                                                    1. Noise Removal
                                                                      1. Irrelevant Content Filtering
                                                                        1. Error Detection and Correction
                                                                          1. Outlier Identification
                                                                          2. Consistency Management
                                                                            1. Format Standardization
                                                                              1. Duplicate Resolution
                                                                                1. Encoding Normalization
                                                                                2. Text Normalization
                                                                                  1. Case Handling
                                                                                    1. Punctuation Standardization
                                                                                      1. Special Character Processing
                                                                                        1. Unicode Handling
                                                                                      2. Data Formatting Requirements
                                                                                        1. Prompt-Completion Pairs
                                                                                          1. Input-Output Structure
                                                                                            1. Context Preservation
                                                                                              1. Length Considerations
                                                                                              2. Instruction-Response Format
                                                                                                1. Instruction Templates
                                                                                                  1. Response Quality Standards
                                                                                                    1. Multi-Turn Formatting
                                                                                                    2. Conversational Format
                                                                                                      1. Turn Delimitation
                                                                                                        1. Speaker Attribution
                                                                                                          1. Context Continuity
                                                                                                        2. Dataset Splitting Strategies
                                                                                                          1. Training Set Composition
                                                                                                            1. Size Considerations
                                                                                                              1. Sampling Strategies
                                                                                                                1. Class Balance
                                                                                                                2. Validation Set Design
                                                                                                                  1. Hyperparameter Tuning Role
                                                                                                                    1. Representative Sampling
                                                                                                                      1. Size Guidelines
                                                                                                                      2. Test Set Construction
                                                                                                                        1. Evaluation Standards
                                                                                                                          1. Holdout Principles
                                                                                                                            1. Distribution Matching
                                                                                                                          2. Data Quality Assurance
                                                                                                                            1. Quality Metrics Definition
                                                                                                                              1. Quality Assessment Methods
                                                                                                                                1. Quality Improvement Strategies
                                                                                                                                  1. Quality vs Quantity Trade-offs
                                                                                                                                2. Base Model Selection
                                                                                                                                  1. Model Family Overview
                                                                                                                                    1. Open Source Models
                                                                                                                                      1. Llama Family
                                                                                                                                        1. Mistral Models
                                                                                                                                          1. Falcon Series
                                                                                                                                            1. Code-Specific Models
                                                                                                                                            2. Commercial API Models
                                                                                                                                              1. OpenAI GPT Series
                                                                                                                                                1. Anthropic Claude
                                                                                                                                                  1. Google PaLM
                                                                                                                                                2. Selection Criteria
                                                                                                                                                  1. Model Size Considerations
                                                                                                                                                    1. Parameter Count Impact
                                                                                                                                                      1. Memory Requirements
                                                                                                                                                        1. Inference Speed
                                                                                                                                                          1. Performance Scaling
                                                                                                                                                          2. Architectural Compatibility
                                                                                                                                                            1. Fine-Tuning Method Support
                                                                                                                                                              1. Layer Accessibility
                                                                                                                                                                1. Modification Flexibility
                                                                                                                                                                2. Licensing and Usage Rights
                                                                                                                                                                  1. Open Source Licenses
                                                                                                                                                                    1. Commercial Restrictions
                                                                                                                                                                      1. Redistribution Rights
                                                                                                                                                                      2. Performance Benchmarks
                                                                                                                                                                        1. Task-Specific Evaluation
                                                                                                                                                                          1. General Capability Assessment
                                                                                                                                                                            1. Efficiency Metrics

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                                                                                                                                                                      1. Foundational Concepts

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                                                                                                                                                                      3. Fine-Tuning Methodologies