Starbucks trials a new app using ChatGPT to offer personalized drink recommendations based on mood descriptions, prompts, or photos, enhancing convenience and creativity in ordering.....
Starbucks is testing a smart ordering application based on ChatGPT, allowing users to get personalized drink recommendations by entering their mood or needs, aiming to enhance the consumer experience.
Cross-border e-commerce enters an AI-driven phase, with Amazon's AI shopping assistant Rufus enhancing shopping via smart recommendations and Q&A, signaling an industry shift towards intelligent, personalized services.....
Streaming platforms integrate ChatGPT, enabling users to find content via natural language instead of keyword searches. AI offers personalized recommendations through dialogue, enhancing discovery efficiency.....
Use AI to accelerate your job search, match your skills and preferences with perfect job opportunities, and make your job search faster and more effective.
An AI-powered job search and career opportunity platform.
Smart shopping assistant, providing personalized shopping lists and meal plans.
Create a personal shopping AI agent by simply providing a URL.
Iflytek
$2
Input tokens/M
-
Output tokens/M
8
Context Length
Bytedance
$0.5
Deepseek
Minimax
Google
$17.5
$70
2.1k
Baidu
4
mims-harvard
TxAgent-T1 is a medical intelligent agent model fine-tuned on Llama3.1-8B-Instruct, specializing in personalized treatment recommendations and drug reasoning
An MCP server that provides Korean beauty (K-Beauty) information, supporting real-time search, brand database, ingredient analysis, and AI skin photo analysis. It includes more than 58 brands and personalized skincare recommendations.
A production-level MCP server that provides AI assistants with access to the Finnish Alko alcohol product catalog, including product search, inventory query, store information, and personalized recommendations.
TIDAL MCP is a personalized recommendation system based on the TIDAL music platform. Through LLM technology, users can obtain accurate music recommendations based on custom conditions (such as year, style, etc.) and directly manage playlists in their TIDAL accounts.
What2Watch MCP is a service that provides real - time entertainment content discovery capabilities for AI assistants. It integrates program information from thousands of TV channels and streaming platforms and can provide personalized recommendations based on user preferences, mood, and time.
This project is an integration tool between the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations. It supports functions such as training activity analysis, automatic token update, and API request rate limit.
ZenFeed is an open-source project that uses AI technology to enhance the RSS reading experience, providing features such as personalized recommendations, real-time monitoring, and email alerts, aiming to solve the problem of information overload.
This project is an integration solution of the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations.
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