Google's Gemma 🌟 // Generalized Instruction Tuning 📚 // Multi-object Diffusion 🖼️

Gemma, a new family of lightweight, state-of-the-art open models built for responsible AI development, is introduced by Google. "Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models" presents a new method for instruction tuning of Large Language Models (LLMs) called Generalized Instruction Tuning (GLAN). "MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion" addresses the challenge of generating images of multiple objects with spatial relationships and attribute bindings. "Instruction-tuned Language Models are Better Knowledge Learners" explores how to update factual knowledge in large language models.  Contact:  [email protected] Timestamps: 00:34 Introduction 01:21 Google DeepMind Releases Gemma 03:28 Andrej Karpathy on Gemma's Tokenizer 04:16 Groq Inference Tokenomics: Speed, But At What Cost? 05:51 Fake sponsor 07:44 Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models 09:38 MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion 11:06 Instruction-tuned Language Models are Better Knowledge Learners 12:58 Outro