Listen "Andrej Karpathi starts AI Ed Company 🧑🏫 // xLSTM for Time Series Forecasting 📊 // Customized Video Generation with Still-Moving 📹"
Episode Synopsis
AI expert Andrej Karpathy is starting an AI+Education company called Eureka Labs, which aims to create an ideal experience for learning something new by leveraging recent progress in generative AI.
YouTube Music is rolling out new AI-powered features, including 'Sound Search' that allows users to search YouTube's catalog of over 100 million songs by singing, humming, or playing a tune, and 'AI-generated conversational radio' that creates a tailored playlist based on natural language prompts.
"xLSTMTime: Long-term Time Series Forecasting with xLSTM" explores the use of extended LSTM (xLSTM) for improving long-term time series forecasting, demonstrating superior forecasting capabilities compared to other state-of-the-art models.
"Still-Moving: Customized Video Generation without Customized Video Data" introduces a framework called Still-Moving that seamlessly integrates the spatial prior of a customized text-to-image (T2I) model with the motion prior of a T2V model, achieving impressive results on personalized, stylized, and conditional video generation tasks.
Contact: [email protected]
Timestamps:
00:34 Introduction
01:57 Andrej Karpathy starting an AI Education Company
03:27 YouTube Music sound search rolling out, AI ‘conversational radio’ in testing
05:12 GB200 Hardware Architecture & Component Supply Chain & BOM
06:50 Fake sponsor
08:34 xLSTMTime : Long-term Time Series Forecasting With xLSTM
10:04 Still-Moving: Customized Video Generation without Customized Video Data
11:47 NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?
13:32 Outro
YouTube Music is rolling out new AI-powered features, including 'Sound Search' that allows users to search YouTube's catalog of over 100 million songs by singing, humming, or playing a tune, and 'AI-generated conversational radio' that creates a tailored playlist based on natural language prompts.
"xLSTMTime: Long-term Time Series Forecasting with xLSTM" explores the use of extended LSTM (xLSTM) for improving long-term time series forecasting, demonstrating superior forecasting capabilities compared to other state-of-the-art models.
"Still-Moving: Customized Video Generation without Customized Video Data" introduces a framework called Still-Moving that seamlessly integrates the spatial prior of a customized text-to-image (T2I) model with the motion prior of a T2V model, achieving impressive results on personalized, stylized, and conditional video generation tasks.
Contact: [email protected]
Timestamps:
00:34 Introduction
01:57 Andrej Karpathy starting an AI Education Company
03:27 YouTube Music sound search rolling out, AI ‘conversational radio’ in testing
05:12 GB200 Hardware Architecture & Component Supply Chain & BOM
06:50 Fake sponsor
08:34 xLSTMTime : Long-term Time Series Forecasting With xLSTM
10:04 Still-Moving: Customized Video Generation without Customized Video Data
11:47 NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?
13:32 Outro
More episodes of the podcast GPT Reviews
OpenAI's 'Strawberry' AI 🚀 // World's Fastest AI Inference ⚡ // Photo-realistic 3D Avatars 🎨
28/08/2024
Grok-2's Speed & Accuracy 🚀 // OpenAI's Transparency Push 🗳️ // LlamaDuo for Local LLMs 🔄
27/08/2024
Amazon Cloud Chief Spicy Takes 🚀 // Zuckerberg's AI Vision 📈 // Multimodal Models for Safety 🔒
23/08/2024
Grok-2 Beta Release 🚀 // Apple's $1,000 Home Robot 🏡 // ChemVLM Breakthrough in Chemistry 🔬
15/08/2024
Gemini Live AI Assistant 📱 // OpenAI’s Coding Benchmark ✅ // LongWriter’s 10K Word Generation ✍️
14/08/2024
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.