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
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
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
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
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
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 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 has recently released the v2 version of its model, continuing the technical route of the Deepseek-MoE (Mixture of Experts) model released in January. It employs a large number of small parameter experts for modeling and incorporates more optimizations in training and inference. True to its tradition, Deepseek has fully open-sourced the model (base and … Read more
The financial backer of DeepSeek-V3 is the quant giant, Huansheng Quant. Huansheng Quant has strong capabilities in the field of quantitative investment, managing assets that once reached hundreds of billions. Since its establishment, DeepSeek has developed rapidly, being the first to open-source China’s first MoE large model (DeepSeek-MoE) in January 2024, launching the second-generation open-source … Read more
This article is primarily aimed at students who usually have coding development needs; others can also take a look, it’s quite fun. This step is also very simple to practice; you just need to download VSCode, and other operations can be done manually. Before officially introducing the practical steps, let’s talk about DeepSeek! DeepSeek is … Read more