Creating instruction tuned models

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!

ai annotation artificial intelligence chance changelog computer vision conference daniel data data annotation deep learning discuss east feedback fine-tuning human human feedback importance language language models large language models llm machine learning neural networks odsc practical process tooling