Can You Teach an LLM New Tricks?

LLMs have a vast amount of knowledge, but they don't know everything. Learn how you can fine-tune an LLM to teach it even more.

Fine-tuning LLMs for Your Industry: Optimal Data Labeling Strategies LLMs have a vast amount of general knowledge, but for specialized industries, they may require further training using domain-specific data. Here, AI expert Jedrzej Kardach explores data labeling for the fine-tuning of LLMs, and includes a step-by-step tutorial for fine-tuning GPT-4o. Read Now By Jedrzej Kardach Verified Expert in Engineering Jedrzej is a machine learning engineer who specializes in AI and data science. He has delivered several NLP-based classification algorithms and reinforcement learning solutions to clients, and has worked alongside researchers at Princeton University developing ML and data analytics tools. Jedrzej has worked with clients in several industries, including service, finance, and insurance. PREVIOUSLY AT YEARS OF EXPERIENCE 6 Hire Jedrzej Other Recommended Articles Architecting Data Labeling Systems for Machine Learning Pipelines Advanced Data Labeling Methods for Machine Learning Ask an NLP Engineer: From GPT Models to the Ethics of AI   Exploring Supervised Machine Learning Algorithms  Ask an AI Engineer: Trending Questions About Artificial Intelligence  FOLLOW US: Toptal, LLC, 2810 N. Church Street #36879, Wilmington, Delaware 19802-4447, United States Unsubscribe Manage preferences