Economical, and Efficient Mixture-of-Experts Language Model DeepSeek-AI research@deepseek.com Abstract We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training Evaluations on Math and Code 33 G Evaluation Formats 34 3 1. Introduction In the past few years, Large Language Models (LLMs) (Anthropic, 2023; Google, 2023; OpenAI, 2022, 2023) have undergone rapid development to tackle this problem, we introduce DeepSeek-V2, a strong open-source Mixture-of-Experts (MoE) language model, characterized by economical training and efficient inference through an innovative Transformer

continued to increase to nearly half today, probably because employers increasingly recognize the programming skills, communication skills, and cooperation spirit shown by students in open source, so there Languages 开发语言呈现多超多强的状态，Python 后来居上，超过 Java 成为榜首， JavaScript/TypeScript 位居第三。 The development language shows the state of many super powers and multi-great power; Python later overtakes Java to become framework projects, such as TensorFlow, PyTorch, MindSpore, etc., are mainly composed of the Python language. These two languages will continue to shine in their respective areas of expertise in the future

 Recommendation  HW components: #nodes, CPUs, memory, network, I/O  SW components: OS, programming language, versions, other software  Baselines and configuration  Use recent versions of baseline com/apache/systemds (OSS)  Complete code history, src/bin releases (SystemDS 2.2.0 in Oct 2021)  DIA / AMLS programming projects in SystemDS  Additional private github repos for student projects / prototypes  Central http://commonwl.org Popper Container Workflows https://github.com/ systemslab/popper ReproZip General-purpose Bundles http://reprozip.org Sciunit Self-contained Experiments Bundles http://sciunit.run Sumatra

Sc. Shafaq Siddiqi, ISDS  Language  Lectures and slides: English  Communication and examination: English/German  Submitted paper and talk: English  Informal language (first name is fine), immediate data into single-node or distributed main memory. % 2. Say why it's an interesting problem General-purpose, heavy- and lightweight compression techniques struggle to achieve both good compression ratios Ontology-Driven System for Natural Language Querying over Relational Data Stores. PVLDB 9(12) 2016  #5.3 Fei Li, H. V. Jagadish: Constructing an Interactive Natural Language Interface for Relational Databases

14 technical layers (silkscreen, solder mask, component adhesive, solder paste, etc), and 13 general-purpose drawing layers. The internal measurement resolution of all objects in KiCad is 1 nanometer, The Custom Rules section contains a text editor for creating design rules using the custom rules language. Custom rules are used to create specific design rule checks that are not covered by the basic See Custom Design Rules in the Advanced Topics chapter for more information on the custom rules language as well as example rules. 19 Violation Severity The Violation Severity section allows you to

14 technical layers (silkscreen, solder mask, component adhesive, solder paste, etc), and 13 general-purpose drawing layers. The internal measurement resolution of all objects in KiCad is 1 nanometer, The Custom Rules section contains a text editor for creating design rules using the custom rules language. Custom rules are used to create specific design rule checks that are not covered by the basic See Custom Design Rules in the Advanced Topics chapter for more information on the custom rules language as well as example rules. 21 Violation Severity The Violation Severity section allows you to

14 technical layers (silkscreen, solder mask, component adhesive, solder paste, etc), and 13 general-purpose drawing layers. The internal measurement resolution of all objects in KiCad is 1 nanometer, The Custom Rules section contains a text editor for creating design rules using the custom rules language. Custom rules are used to create specific design rule checks that are not covered by the basic See Custom Design Rules in the Advanced Topics chapter for more information on the custom rules language as well as example rules. 21 Violation Severity The Violation Severity section allows you to

ever-growing digital datasets that have been in the making for over three decades; breakthrough large language models (LLMs) that – in effect – found freedom with the November 2022 launch of OpenAI’s ChatGPT 260% Annual Growth Over Fifteen Years of… Data to Train AI Models Led To… Note: Only “notable” language models shown (per Epoch AI, includes state of the art improvement on a recognized benchmark, >1K FLOPs are often used to estimate the computational cost of training or running a model. Note: Only language models shown (per Epoch AI, includes state of the art improvement on a recognized benchmark, >1K

14 technical layers (silkscreen, solder mask, component adhesive, solder paste, etc), and 13 general-purpose drawing layers. The internal measurement resolution of all objects in KiCad is 1 nanometer, The Custom Rules section contains a text editor for creating design rules using the custom rules language. Custom rules are used to create specific design rule checks that are not covered by the basic See Custom Design Rules in the Advanced Topics chapter for more information on the custom rules language as well as example rules. Violation Severity The Violation Severity section allows you to configure

and appreciate (or complain about!). There are also important changes at the level of plugin programming and script-fu creating that are not covered here. Interoperability and standards support • availability. Language All being well, GIMP detects the system language. This may fail on some machines and you may want use another language. It is possible to change the language: In LINUX: in in console mode, type LANGUAGE=en GIMP or LANG=en GIMP replacing en by fr, de, ... according to the language you want. In WINDOWS XP: Control Panel/System/ Advanced/"Environment" button/ In "System Variables"