关键词 "technical talent" 的搜索结果， 共 24 条, 只显示前 480 条
AI-powered tool for technical specifications
Revolutionizing talent acquisition.
AI-driven Technical Analysis for every chart
Flowpoint helps website conversions, solutions, and ROI with AI-driven analytics.
AI-driven SEO partner for top rankings and organic traffic.
Mangus Elearning uses AI to personalize learning for employees and professionals with virtual courses.
A platform using AI to help traders maximize their potential in crypto trading.
End-to-end assessment platform with AI tests
Online skill assessment platform for talent evaluation
Hatchways platform helps companies evaluate candidates with practical technical assessments through Github repositories.
AI platform for technical analysis & price prediction
Unlocking verifiable reputation data for talent
No Code Founders helps non-technical founders build online businesses without coding.
Harness AI power for custom business processes with VectorShift's generative AI platform.
AI for team productivity
Tabnine is an AI assistant that improves code delivery and safety for better development productivity.
Efficient technical interview platform
LabLab is a platform that encourages innovation with AI technology through hackathons and events.
Website Generator enables AI to create complete, editable websites from simple prompts, returning links to view and customize the site without requiring technical expertise.
JIRA MCP Server: Essential API Integrations for Technical Program Managers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
An MCP server providing a range of cryptocurrency technical analysis indicators and strategies.
Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different
微软研究院的一个研究团队探索了使用主动式强化学习（agentic reinforcement learning）来实现这一目标，也就是说，模型会与专用工具环境中的工具进行交互，并根据收到的反馈调整其推理方式。而他们的探索成果便是 rStar2-Agent，这是一种强大的主动式强化学习方法。使用该方法，这个微软团队训练了一个 14B 的推理模型 rStar2-Agent-14B—— 该模型达到前沿级
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