Meta's MusicGen 🎶 // Improving Reasoning with Bard 🤔 // Multi-Modal Instruction Tuning 🌟

They discuss Meta's MusicGen AI model that can generate music with very little data, Google's Bard AI language model that is improving at mathematical tasks, BlenderBot 3x that is trained using organic conversation and feedback data, and MIMIC-IT, a dataset comprising 2.8 million multimodal instruction-response pairs for vision-language tasks that has been used to train the Otter model that outperformed existing models on several tasks. Contact:  [email protected] Timestamps: 00:34 Introduction 01:34 Meta just released MusicGen, a simple and controllable model for music generation 03:07 Bard is getting better at logic and reasoning 04:47 Prompts for Work & Play: Launching the Wolfram Prompt Repository 05:37 Fake sponsor 07:36 Improving Open Language Models by Learning from Organic Interactions 09:09 MIMIC-IT: Multi-Modal In-Context Instruction Tuning 10:41 Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards 12:17 Outro