EPISODE · Feb 16, 2024 · 14 MIN
OpenAI's Sora: Text-to-Video 📹 // Google's Gemini 1.5 🚀 // Data-efficient LLMs 💾
from GPT Reviews · host Earkind
OpenAI's announcement of Sora, a text to video model that can generate realistic and imaginative scenes from text instructions. Google's new Gemini 1.5, which delivers dramatically enhanced performance and achieves the longest context window of any large-scale foundation model yet. "How to Train Data-Efficient LLMs" paper from Google DeepMind, UC San Diego, and Texas A&M University, which explores two data-efficient approaches to optimize the training of large language models. "OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset" paper from NVIDIA, which presents a new math instruction tuning dataset called OpenMathInstruct-1, constructed using an open-source language model. Contact: [email protected] Timestamps: 00:34 Introduction 01:38 OpenAI Announces Sora: a Text to Video Model 03:11 Google Introduces Gemini 1.5 05:27 Magika: AI powered fast and efficient file type identification 06:37 Fake sponsor 08:21 How to Train Data-Efficient LLMs 09:58 Generative Representational Instruction Tuning 11:28 OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset 13:22 Outro
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OpenAI's Sora: Text-to-Video 📹 // Google's Gemini 1.5 🚀 // Data-efficient LLMs 💾
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