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See how a new prompting method can generate better results than standard and Chain of Thought (CoT) methods.
Build faster with AI coding agents. Factory Droids automate coding, testing, and deployment for startups and enterprises.
Federated Learning - The Production AI Platform for Federated Learning at Scale.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
AI-Powered Automation for Accounting Firms.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Recover from infra and code failures, orchestrate dynamic workflows, scale to production.
A concrete implementation of durable execution, retries, and human approval for an agent workflow.
An open-source AI agent that brings the power of Gemini directly into your terminal. opensource.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Generative AI for Beginners is an AI tool or resource for chat, research, automation, media generation, or model development.
Current flagship model for agentic engineering and stronger coding workflows.
AI-powered email management using Qwen and Model Context Protocol (MCP).
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
A research project exploring the role of machine learning in the process of creating art and music.
Google Whitepaper is an AI tool or resource for chat, research, automation, media generation, or model development.
Give your agents context that actually works. Real-time sync across Slack, GitHub, Jira, and more. One API, zero ops, semantic search built-in.
A scalable general purpose micro-framework for defining dataflows.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Main interface and application logic are orchestrated within src/components/interface.py.