Strong, 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 LLMs. In order 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 DeepSeekMoE has two key ideas: segmenting experts into finer granularity for higher expert specialization and more accurate knowledge acquisition, and isolating some shared experts for mitigating knowledge redundancy

research and of historical examples that other programs could use as models, we sought the views of experts representing diverse acquisition disciplines on how to appropriately and effectively implement Agile depend upon highly skilled and disciplined team members, a cross-functional team of mentors and experts working alongside junior-level team members can also succeed. Program offices realize the best results assets.  Bring in experts in Agile, Lean, and related methodologies to serve as Agile coaches and to conduct on-the-job-training for the program office staff. These experts can make invaluable contributions

9 Start now and invest early 11 Customize and fine-tune your models 13 Get AI in the hands of experts 16 Unblock your developers 18 Set bold automation goals 21 Conclusion 22 More resources 24 2 to the specifics of your use cases can dramatically increase value. 05 Get AI in the hands 
 of experts The people closest to a process are best-placed to improve 
 it with AI. 06 Unblock your
 developers your teams can focus on high-value tasks. 15 AI in the EnterpriseLesson 5 Get AI in the hands of experts BBVA takes an expert-led approach to AI Your employees are closest to your processes and problems

available techniques. It is often tedious to decide which ones would work for a problem even for experts. The simplest approach is to try and see which ones produce the best results. For example, between hyperparameters which can help to squeeze better performance out of a model. Traditionally, we relied on experts who used their intuition and a fair bit of trial-and-error to tune hyperparameters. However, in a reduce the dependency on ML experts and to promote large-scale adoption of machine learning. An AutoML pipeline assumes all the responsibilities which traditionally required ML experts. Imagine that we are developing

circumstances 68PART II SUMMARYSUMMARY ▪ The committees are made up of C++ (and SYCL) experts, not (as a whole) safety experts ▪ Many of the solutions proposed are ad hoc ▪ We (desperately) need principles we Khronos members https://www.khronos.org/members/ https://www.khronos.org/registry/SYCL/ Invited Experts https://www.khronos.org/advisors/ Public contributions to Specification, Conformance Tests and

So this probably is not an ‘expert-level’ talk, but aimed more at beginners ○ That said, I hope experts will derive some value for looking at today’s pattern. ■ Or otherwise, be able to refresh and point So this probably is not an ‘expert-level’ talk, but aimed more at beginners ○ That said, I hope experts will derive some value for looking at today’s pattern. ■ Or otherwise, be able to refresh and point ‘main game loop’ is simplified ■ We only have to iterate through one collection 58 Note: To experts--we can refactor for performance and a more ‘data-oriented’ approach. That is a separate talk--this

implemented naïvely, like sort • For hardware experts to optimize • With readable, self-documenting names • From mathematical algorithms • For mathematicians (e.g., experts in rounding error analysis) to implement Author 1 Christian Reinsch (1934 – 2022), Author 2 • “…continuous efforts by acknowledged experts over more than ten years” (SIAM Review, 14 (4), 1972) • Established what problems “linear algebra

NativeScript Developer Experts ? • Slack channel standouts ? • Stack Overflow contributors ? • Contest winners! ? Community starts with Engineering ? NativeScript Developer Experts ? Slack channel stats

enabling, and empowering our partner community with the knowledge that our passionate subject matter experts have. Partner Solution Stacks Copyright © SUSE 2021 Here at SUSE, we cater to learners. Taking enabling, and empowering our partner community with the knowledge that our passionate subject matter experts have. Emerging Tech — Function as a Service (FaaS) — Serverless/Container as a Service — Platform

coding aspects of their Xcode app prototypes. Set up a help desk. Maintain a space where club experts can provide support to their peers. Learn and Apply 8 3. Choose your projects Club materials can be educators or staff, peers with expertise in coding, members of the board of governors, experts from the developer or design industry, local community leaders, or individuals who would benefit