FINE_TUNING.md
Fine-tuning configs, datasets, and training instructions
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Recent FINE_TUNING.md Documents
View allAgents and LLMs
Serves as a personal reference notebook covering LLM families, fine-tuning, RAG, agents, evaluation, and applied AI topics.
YouTube Video Script: Train OccWorld on Tokyo 3D City Data with Lambda Cloud
Provides a complete script and visual plan for a YouTube tutorial on training the OccWorld 3D world model on Tokyo city data using Lambda Cloud GPUs.
Claude Code Ecosystem Exploration Hub
Maps the three main hubs for finding Claude Code skills, MCP servers, and open-source repos, with search strategies and installation flows.
Phase 1: Detailed Candidate Identification Plan
Provides step-by-step queries and methods to discover candidate open-source projects across 8 categories for analysis.
-PLUIE: Personalisable metric with Llm Used for Improved Evaluation
Lists 16 arXiv papers on LLM evaluation, fine-tuning, and interpretability, each with title, authors, link, and abstract.
Challenges
Lists challenges and pitfalls for applying machine learning to wildfire detection and prediction, emphasising data quality and social impact.
Overview
Explains the preprocessing, training, constrained decoding, and span recovery methods used for a T5-based SDoH extraction system.
CVPR 2017 Abstracts Collection
Lists CVPR 2017 paper titles, authors, abstracts, and comments for fast browsing of the conference proceedings.