Cedric Kurn, Senior Developer Advocate at Red Hat, dives into a project designed to make fine-tuning large language models (LLMs) similar to MixTroll or Hugging Face models but more accessible. His approach lets developers without a data science background—or even GPU access—train and customize models using tools like IBM’s InstructLab. The result? A streamlined way to create and contribute to open-source AI models, breaking down barriers to entry and tackling the challenges of black-box AI.

Cedric also emphasized how the growing collaboration between developers and data scientists is reshaping AI, making it more inclusive and accessible for everyone. It's a great example of innovation meeting community impact!

Neo4j devhub: https://bit.ly/4ghZuIk