Listen "Anthropic's Claude 2.1 💬 // Stable Video Diffusion 📹 // Efficient Language Model Finetuning with LQ-LoRA 🔍"
Episode Synopsis
Generative video models, language model finetuning, and generative retrieval. Claude 2.1 boasts a larger context window and decreased false statements, while Stable Video Diffusion can be applied in various sectors. LQ-LoRA offers a promising approach for more efficient language model finetuning and compression, and RIPOR surpasses state-of-the-art generative retrieval models by a large margin.
Contact: [email protected]
Timestamps:
00:34 Introduction
01:31 Anthropic Introduces Claude 2.1
03:14 Introducing Stable Video Diffusion
05:16 Cryptic Note to OpenAI Board Surfaces
06:37 Fake sponsor
09:20 System 2 Attention (is something you might need too)
10:45 LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
12:52 Scalable and Effective Generative Information Retrieval
15:04 Outro
Contact: [email protected]
Timestamps:
00:34 Introduction
01:31 Anthropic Introduces Claude 2.1
03:14 Introducing Stable Video Diffusion
05:16 Cryptic Note to OpenAI Board Surfaces
06:37 Fake sponsor
09:20 System 2 Attention (is something you might need too)
10:45 LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
12:52 Scalable and Effective Generative Information Retrieval
15:04 Outro
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