Token
Un token en el contexto de los modelos de lenguaje grandes (LLM) es una secuencia de caracteres que el modelo convierte en representaciones numéricas para un pr...
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Token
LLM
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LLM DeepSeek
LLM DeepSeek de FlowHunt te permite acceder y personalizar los mejores modelos de IA como DeepSeek R1 para la generación de texto e imágenes en tus chatbots y herramientas de IA, todo desde un solo panel.
AI
DeepSeek
LLM
Chatbot
Descripción del componente
Cómo funciona el componente LLM DeepSeek
What Is The LLM DeepSeek Component?
The LLM DeepSeek component connects the DeepSeek models to your Flow. While the Generators and Agents are where the actual magic happens, LLM components allow you to swap and control the model used.
Remember that connecting an LLM Component is optional. All components that use an LLM come with ChatGPT-4o as the default. The LLM components allow you to change the model and control model settings.
LLM Gemini Component Settings
Max Tokens
Tokens represent the individual units of text the model processes and generates. Token usage varies with models, and a single token can be anything from words or subwords to a single character. Models are usually priced in millions of tokens.
The max tokens setting limits the total number of tokens that can be processed in a single interaction or request, ensuring the responses are generated within reasonable bounds. The default limit is 4,000 tokens, the optimal size for summarizing documents and several sources to generate an answer.
Temperature
Temperature controls the variability of answers, ranging from 0 to 1.
A temperature of 0.1 will make the responses very to the point but potentially repetitive and deficient.
A high temperature of 1 allows for maximum creativity in answers but creates the risk of irrelevant or even hallucinatory responses.
For example, the recommended temperature for a customer service bot is between 0.2 and 0.5. This level should keep the answers relevant and to the script while allowing for a natural response variation.
Model
This is the model picker. Here, you’ll find all the supported DeepSeek models. We support all the latest Gemini models:
- DeepSeek R1: The Chinese lightweight open source model that took the world by storm in early 2025. It is currently the fastest and best DeepSeek model that effortlessly outperforms OpenAI’s o1 model.
How To Add The LLM DeepSeek To Your Flow
You’ll notice that all LLM components only have an output handle. Input doesn’t pass through the component, as it only represents the model, while the actual generation happens in AI Agents and Generators.
The LLM handle is always purple. The LLM input handle is found on any component that uses AI to generate text or process data. You can see the options by clicking the handle:
This allows you to create all sorts of tools. Let’s see the component in action. Here’s a simple AI Agent chatbot Flow using DeepSeek R1 to generate responses. You can think of it as a basic DeepSeek chatbot.
This simple Chatbot Flow includes:
- Chat input: Represents the message a user sends in chat.
- Chat history: Ensures the chatbot can remember and factor in past responses.
- Chat output: Represents the chatbot’s final response.
- AI Agent: An autonomous AI agent that generates responses.
- LLM DeepSeek: The connection to DeepSeek generation models.
Preguntas frecuentes
- ¿Qué es LLM DeepSeek en FlowHunt?
LLM DeepSeek es un componente en FlowHunt que te permite conectar y controlar modelos de IA DeepSeek para generación de texto e imágenes, habilitando chatbots potentes y flujos automatizados.
- ¿Qué modelos DeepSeek son compatibles?
FlowHunt es compatible con todos los modelos DeepSeek más recientes, incluido DeepSeek R1, conocido por su velocidad y rendimiento, especialmente en comparación con otros modelos líderes de IA.
- ¿Cómo puedo personalizar la configuración de LLM DeepSeek?
Puedes ajustar el máximo de tokens para la longitud de la respuesta y la temperatura para la creatividad, así como cambiar entre los modelos DeepSeek disponibles directamente desde tu panel de FlowHunt.
- ¿Es obligatorio conectar un componente LLM DeepSeek?
No, conectar un componente LLM es opcional. Por defecto, FlowHunt utiliza ChatGPT-4o, pero añadir LLM DeepSeek te permite alternar y controlar qué modelo de IA impulsa tus flujos.
Prueba FlowHunt con DeepSeek
Comienza a crear chatbots de IA y herramientas de automatización más inteligentes usando los avanzados modelos DeepSeek—todo sin configuraciones complejas ni múltiples suscripciones.