Trying Out Flan 20B with UL2 - Working in Colab with 8-Bit Inference

Explore the capabilities of Google's latest publicly released Flan model, Flan-UL2 20 Billion, in this informative video tutorial. Learn how to run the model on a high-end Google Colab using the HuggingFace Library and 8-Bit inference. Discover the model's performance in various tasks, including chain of thought prompting, zero-shot logical reasoning, generation, story writing, common sense reasoning, and speech writing. Gain insights into loading the model, comparing non-8Bit and 8Bit inference, testing large token spans, and utilizing the HuggingFace Inference API. Follow along with the provided Colab notebook to experiment with this powerful language model firsthand.