Trends Artificial Intelligence
Admin Costs Margins Marketing Spend Effectivity ROIC Revenues Sales Productivity Customer Service Production / Output Revenue-Focused Cost-Focused ‘Traditional’ Enterprise AI Adoption = Rising Pre-Clinical Candidate Status marks the point at which a lead molecule (or biologic) has satisfied all discovery-stage gates and is officially handed off to the development organization for work related to beginning ‘Insilico Medicine Reports Benchmarks for its AI-Designed Therapeutics’ (2/25) AI-Driven Drug Discovery – 2021-2024, Per Insilico Medicine, Cradle & BioPharmaTrend Months to Pre-Clinical Candidate Status0 码力 | 340 页 | 12.14 MB | 4 月前3OpenAI 《A practical guide to building agents》
sequence of steps that must be executed to meet the user’s goal, whether that's resolving a customer service issue, booking a restaurant reservation, committing a code change, or generating a report. Applications judgment, exceptions, or context-sensitive decisions, for example refund approval in customer service workflows. 02 Difficult-to-maintain rules: Systems that have become unwieldy due to extensive and records, or sending messages. Send emails and texts, update a CRM record, hand-off a customer service ticket to a human. Orchestration Agents themselves can serve as tools for other agents—see the0 码力 | 34 页 | 7.00 MB | 6 月前3OpenAI - AI in the Enterprise
platform, introduced a new AI assistant to streamline customer service. Within a few months, the assistant was handling two-thirds of all service chats—doing the work of hundreds of agents and cutting average invested heavily in our API to make it easier to customize and fine-tune models—whether as a self-service approach or using our tools and support. We worked closely with Lowe’s, the Fortune 50 home improvement team Uses it to answer 40,000 questions a year on policies, compliance, and more. The Customer Service team Automates the sentiment analysis of NPS surveys. 16 AI in the EnterpriseAnd the wins continue0 码力 | 25 页 | 9.48 MB | 5 月前3DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
compared with dense DeepSeek 67B. Inference Efficiency. In order to efficiently deploy DeepSeek-V2 for service, we first convert its parameters into the precision of FP8. In addition, we also perform KV cache DeepSeek-V2 based on the prompt and generation length distribution from the actually deployed DeepSeek 67B service. On a single node with 8 H800 GPUs, DeepSeek-V2 achieves a generation throughput exceeding 50K tokens based on the overall score. Models marked with * represent that we evaluate them through their API service or open-weighted model, instead of referring to the results reported in their original papers. Suffixes0 码力 | 52 页 | 1.23 MB | 1 年前3TVM@AliOS
2 _ _ 10 9.86 。, Online Service 8 8 6.952 。 C++0 码力 | 27 页 | 4.86 MB | 5 月前3开源中国 2023 大模型(LLM)技术报告
这些先进的 AI 模型, 快速完成从模型到应用的跨越,如 、 等。 : 大模型聚合平台主要用于整合和管理多个大型机器学习模型,在聚合平台之上,衍生出 MaaS(Model-as-a- Service,大模型即服务)的服务模式——通过提供统一的接口和框架,以更高效地部署、运行和优化这些模型, 。 :其它开发相关的 LLM 工具,如云原生构建多模态AI应用的工具 Jina,嵌入式数据库 txtai0 码力 | 32 页 | 13.09 MB | 1 年前3
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