Part 8/13:
Addressing hallucinations, bias, and response latency, Rur discussed the importance of fine-tuning, retrieval-augmented generation (RAG) pipelines, and strict data governance. Certain models, like those fine-tuned using Springtown AI, incorporate retrieval techniques to fetch factual, context-specific data, reducing hallucinations significantly.
Deep Dive: Fine-Tuning Language Models Workshop
After a short networking break, expert Drov, representing Springtown AI, led a workshop on "Fine-Tuning of LLMs." Participants learned how domain-specific tuning enhances model accuracy, safety, and relevance.
Core Strategies for Fine-Tuning
- Data Preparation: Collecting high-quality, domain-relevant datasets (e.g., PDFs, structured tables).