DeepSeek-V2 Technical Interpretation

DeepSeek-V2 Technical Interpretation

DeepSeek has introduced a new MoE model, DeepSeek-V2, with a total parameter count of 236 billion and 21 billion active parameters. Although it is still a bit short of GPT-4 levels, it can be considered the strongest open-source MoE model available. Staying true to its open-source spirit, the accompanying technical report is also packed with … Read more

DeepSeek-VL: A Preliminary Exploration of Multimodal Models

DeepSeek-VL: A Preliminary Exploration of Multimodal Models

Following the release of large models for language, code, mathematics, etc., DeepSeek has brought another early achievement on the journey towards AGI… DeepSeekVL, jointly expanding training data, model architecture, and training strategies, attempts to build the strongest open-source 7B and 1.3B multimodal models. Highlights Data: Multi-source multimodal data enhances the model’s general cross-modal capabilities, mixing … Read more

DeepSeek-V2: A Powerful MoE Language Model

DeepSeek-V2: A Powerful MoE Language Model

Abstract We propose DeepSeek-V2, a powerful Mixture of Experts (MoE) language model characterized by economical training and efficient inference. It has a total of 236 billion parameters, with 21 billion parameters activated per token, and supports 128K tokens of context length. DeepSeek-V2 adopts innovative architectures such as Multi-head Latent Attention (MLA) and DeepSeekMoE. MLA ensures … Read more

DeepSeek Technology Interpretation: Understanding MLA

DeepSeek Technology Interpretation: Understanding MLA

This article focuses on explaining MLA (Multi-Head Latent Attention). Note: During my learning process, I usually encounter some knowledge blind spots or inaccuracies, and I recursively learn some extended contexts. This article also interprets the background of MLH’s proposal, the problems it aims to solve, and the final effects step by step along with some … Read more

Open Source AGI Agents: New Approaches to AGI Alignment

Open Source AGI Agents: New Approaches to AGI Alignment

New Intelligence Report Editor: Run [New Intelligence Guide] A netizen publicly shared an autonomous learning agent he created. According to his vision, such an agent will rapidly evolve into an omnipotent AGI with the support of LLM, and if humans control its growth process, specific alignment will not be necessary. A netizen created an open-source … Read more

Introduction to Large Language Model Agents

Introduction to Large Language Model Agents

Large Language Model Agents Large Language Models (LLMs) have brought revolutionary changes in various fields. Specifically, LLMs have been developed as agents capable of interacting with the world and handling various tasks. With the continuous advancement of LLM technology, LLM agents are expected to become the next breakthrough in artificial intelligence, fundamentally transforming our daily … Read more