https://aimorning.news/en/tag/system

- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 7614, 5998, 1616
AI-Flow, Assistant, GPT-4.5, Insights, Logic, System, workflow
- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 7210, 5523, 1687
AI-Flow, Artificial intelligence, Collaboration, Insights, Intelligence, Logic, Management, System
- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 7108, 5377, 1731
AI-Flow, Artificial intelligence, Automazioni, GPT-4.5, Insights, Intelligence, System, workflow, Workflow automation
- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 6854, 5222, 1632
AI Services, AI-Flow, AI-System, GPT-4.5, Insights, Prompts, System
- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 6372, 4488, 1884
AI-Flow, Artificial intelligence, Equation, GPT-4.5, Insights, Intelligence, Logic, Model, System, workflow
- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 7610, 5819, 1791
AI systems, AI-Flow, AI-System, Business, Insights, Model, System
- AI-Flow (EN) -
Pipeline data: google/gemini-2.0-pro-exp-02-05 + google/gemini-2.0-flash-001 Google AI Studio, chat.completion, google/gemini-2.0-flash-001, 6201, 4455, 1746
AI systems, AI-Flow, Equation, Insights, System
- Chat Bots -
AI Supervisor AIMN on Flowise, which coordinates the flow between two agents: one for prompt creation (Prompt Creator) and one for review (Prompt Reviewer). The goal is to identify the user's intent, create, and optimize a prompt that will then be used to instruct a dedicated assistant for a specific task or an entire pipeline of Agents. How does it work? You simply need to explain the application you want to create, and the program will generate the system prompt for each worker. Example: I want to create an AI application with two AI agents. One agent should perform a Google search using the SerpApi tool on any topic provided by the user. The other agent will then send the information to my email address, test@test.test, using a custom tool at its disposal. id:71844d8f-385d-4116-9412-4d7c83766d10
Assistant, ChatBot, Index, Information, Prompts, Supervisor, System
- AI-Flow (EN) -
Pipeline data: google/gemini-exp-1206 + anthropic/claude-3.5-sonnet Google AI Studio, chat.completion, anthropic/claude-3.5-sonnet, 5565, 3891, 1674
AI-Flow, Insights, Model, System