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PRST.ai

prst.ai revolutionizes prompt management and AI tool integration, giving users full control of their AI journey.

10k 热度 AI提示指令 AI automation Prompt management No-code AI Prompt engineering Self-hosted AI AI integration LLMs integration AI generation validation Prompt data ownership Unified AI interface AI feedback collection Prompt analytics AI API management Customizable AI Ente
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软件新闻

Huawei details open-source AI development roadmap at Huawei Connect 2025

发布日期:2025-09-29

Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.

CAMIA privacy attack reveals what AI models memorise

发布日期:2025-09-26

Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.

Samsung benchmarks real productivity of enterprise AI models

发布日期:2025-09-25

Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.

Inside Huawei’s plan to make thousands of AI chips think like one computer

发布日期:2025-09-25

Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.

Generative AI in retail: Adoption comes at high security cost

发布日期:2025-09-24

The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.

OpenAI and Nvidia plan $100B chip deal for AI future

发布日期:2025-09-24

OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.

Governing the age of agentic AI: Balancing autonomy and accountability  

发布日期:2025-09-24

Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability   appeared first on AI News.

使用指南

What is prst.ai?

prst.ai is a self-hosted AI automation tool that revolutionizes prompt management for any AI tool. It allows users to seamlessly integrate and manage external AI tools, customize prompts without coding, tailor pricing based on API usage, and take full ownership of their AI journey. With prst.ai, users can easily connect to any AI tool, secure their data, and capture feedback from users. It also offers advanced analytics, enterprise-level setup, and customizable AI capabilities.

How to use prst.ai?

To use prst.ai, you can start by installing it either by deploying the Docker Image or configuring a custom build. Once installed, you can connect and manage external AI tools through the flexible API and UI. Customize prompts, set pricing rules, and validate prompt generation results. Secure your data with the self-hosted solution. Easily import and export data. Capture user feedback with built-in sentiment analysis. Discover and attach prompt libraries and connectors to AI services. Conduct A/B testing for prompt versions to improve results. Analyze and track productivity and performance with the comprehensive dashboard.

prst.ai's Core Features

Seamless integration and management of external AI tools

No-code prompt management

Custom pricing rules for cost control

Full ownership and control of AI journey

Secure and hassle-free data management

Flexible integration capabilities with any AI tool

Customizable feedback component with sentiment analysis

Validation and customization of AI models

AI prompts libraries and connectors

A/B testing for prompt versions

Advanced analytics and comparative result analysis

Enterprise-level setup with scalable capabilities

Efficient async processing and remote logs storage

Streamlined access with SSO and SAML

Comprehensive support for smooth operations

prst.ai's Use Cases

#1

Streamline AI workflows and optimize performance

#2

Customize and manage prompts without coding

#3

Ensure cost control and operational predictability

#4

Take full ownership and control of AI journey

#5

Securely manage and control data

#6

Connect and utilize any AI tool of choice

#7

Capture user feedback and analyze sentiment

#8

Validate and customize AI models for specific goals

#9

Discover and attach prompt libraries and connectors

#10

Conduct A/B testing for prompt versions

#11

Analyze and compare results for better decision-making

#12

Implement robust AI capabilities for enterprises

#13

Efficiently handle large-scale projects and complex designs

FAQ from prst.ai

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prst.ai Support Email & Customer service contact & Refund contact etc.

More Contact, visit

the contact us page(https://prst.ai/#cta)

prst.ai Company

prst.ai Company name:

ADAAS

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prst.ai Pricing

prst.ai Pricing Link:

https://prst.ai/#pricing

prst.ai Linkedin

prst.ai Linkedin Link:

https://www.linkedin.com/company/prst-ai/

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