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
Click below 👇“Follow Rongjie AI”to subscribe to the public account Let’s learn AI together! DeepSeek has fully opened the V3 version on the web and API. Today, Rongjie will introduce how to call the API interface. 1 Create API key 1. Visit the website: https://platform.deepseek.com/api_keys to create an API Key. 2. Enter the name for … Read more
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
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
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