Groq

Groq provides a high-speed, low-latency API for running large language models (LLMs) on its custom Language Processing Unit (LPU). To get started:

1. Sign Up & Get an API Key: Visit console.groq.com, create a free account, and generate an API key from the dashboard.

1. Choose a Model: Groq offers several models (e.g., Llama 3, Mixtral). Select the one that fits your use case from the available list.

1. Make API Calls: Use standard HTTP requests to the endpoint https://api.groq.com/openai/v1/chat/completions. Include your API key in the Authorization header as Bearer YOUR_API_KEY.

Example request (using curl):

curl -X POST https://api.groq.com/openai/v1/chat/completions \
     -H "Authorization: Bearer $GROQ_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "model": "llama3-8b-8192",
       "messages": [{"role": "user", "content": "Hello!"}]
     }'

1. Parameters: Set temperature, max_tokens, top_p, etc., as needed. The response will include the generated text in choices[0].message.content.

1. Rate Limits: Free tier has limits (e.g., 30 requests per minute). Check your dashboard for details.

1. Streaming: For real-time responses, enable streaming by setting stream: true in the request body.

For more details, see the official Groq documentation. The LPU ensures blazing-fast inference, suitable for chatbots, coding assistants, and more.