Meta AI
by Meta
Access Meta's Llama models - open-source large language models for chat, reasoning, and analysis
Sådan bruger agenter Meta AI
- ✓Agent uses open-source Llama models as a cost-effective reasoning engine for text and chat tasks
- ✓Agent generates text embeddings to enable semantic search or document similarity matching
- ✓Agent classifies or moderates content using a fine-tuned Llama model as a step in a pipeline
- ✓Agent runs inference on Meta's models without vendor lock-in for privacy-sensitive workflows
Agenthandlinger
Input: messages, model, temperature, maxTokens, topP, topK, stream
Returnerer: content, usage, finishReason
Input: image, prompt, model, maxTokens
Returnerer: analysis, usage
Input: prompt, model, maxTokens, temperature, stopSequences
Returnerer: text, usage
Input: prompt, language, model
Returnerer: code, explanation
Input: messages, tools, toolChoice, model
Returnerer: toolCalls, content, usage
Input: input, model
Returnerer: embeddings, usage
Eksempel på workflows
Simple Chat
Basic conversation with Llama
Vision Analysis
Analyze an image with Llama Vision
Code Generation
Generate Python code
Function Calling
Use Llama with custom tools
Long Context Analysis
Analyze long documents with Llama 3.1
Om Meta AI
- Leverandør
- Meta
- Pris Tjek altid detaljer med udbyderen
- Gratis / Betalt — Free tier available for smaller models, usage-based pricing for larger models. Open-source models can also be self-hosted
- Godkendelse
- API-nøgle
- Hastighedsgrænse Tjek altid detaljer med udbyderen
- 100 anmodninger / minut
- Kompatible noder
- AgentResource
- Hjemmeside
- https://ai.meta.com
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