Your Title
📝 LLM Research Journal Entry: [Experiment/Project Title] Metadata Date: [YYYY-MM-DD] Paper: LoCoMo PDF Researcher(s): [Your Name(s)] LLM Model Used: [e.g., GPT-4, Llama 2 7B, Mistral 7B, etc.] Model Version/Fine-Tuning Details: [e.g., Base model, Instruct-tuned, Custom fine-tuning parameters] Task/Goal: [A concise statement of the experiment’s objective] 1. 🎯 Experiment Design & Methodology Describe how the experiment was conducted, including the dataset and evaluation metrics. Hypothesis: [What did you expect to happen or what were you testing?] Dataset/Prompt Set: Source: [e.g., Custom generated, Open-source dataset like SQuAD, HELM] Size: [Number of samples/prompts] Preprocessing: [e.g., Cleaned, standardized, converted to specific format] Key Parameters (Inference Settings): Temperature: [e.g., 0.7, 0.0] Top-P/Top-K: [e.g., 0.9, 50] Max New Tokens: [e.g., 256] Prompting Technique: [e.g., Zero-shot, Few-shot (N=X examples), Chain-of-Thought (CoT)] 2. 📊 Results & Benchmarks Present the quantitative and qualitative findings, focusing on key performance indicators (KPIs). ...