Introduction-to-LLM-and-RAG

TP: Access a Free Generative AI API with Mistral AI and Groq

Objective

In this tutorial, you will learn how to use free generative AI APIs for your development projects by leveraging Mistral AI’s “La Plateforme” and GroqCloud.

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1. Overview of the Solutions

Mistral AI

Mistral AI is a French startup specializing in large-scale language models (LLMs). Its solution, “La Plateforme”, allows developers to access models like Mistral-7B and Falcon via a serverless infrastructure, offering a free tier for testing and prototyping.

Groq

Groq is an American company that designs inference chips for AI. With GroqCloud, they provide API access to AI models optimized for their hardware, including LLaMA and custom models like GroqGPT.

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2. API Access with Mistral AI

Step 1: Register on La Plateforme

1. Visit Mistral AI’s official website.
2. Click Sign Up and create an account.
3. Once registered, log in to La Plateforme.
4. Access the free plan to get started at no cost.

Step 2: Obtain an API Key

1. Subscribe to the free plan.
2. Create an API key.
3. Choose a model.

Step 3: Integrate the API into Your Application

Use the URL and API key to make HTTP requests. Here’s a Python example:

from openai import OpenAI  # Import OpenAI module for API interaction

client = OpenAI(
    base_url="https://api.mistral.ai/v1/",  
    api_key="your_api_key",  # Replace with your API key
)

# Define the assistant's behavior and user input
messages = [
    {"role": "system", "content": "YOU ARE AN AGENT!"},  # Initial system instruction
    {"role": "user", "content": "Give me an idea to become rich."}, 
]

response = client.chat.completions.create(
    model="your_model",  # Replace with your chosen model
    messages=messages,  # Pass the conversation context
    stream=False  # Wait for the full response
)

# Extract and print the assistant's response
ai_response = response.choices[0].message.content
print(ai_response)

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3. API Access with Groq

Step 1: Register on GroqCloud

1. Visit Groq’s official website.
2. Click Sign Up and create an account.
3. Once registered, log in to the GroqCloud console.
4. Take advantage of the free plan, which includes a limited usage quota (e.g., 5,000 free requests).

Step 2: Select an AI Model

1. Go to the Models section in GroqCloud.
2. Choose a model such as:
   • LLaMA (Meta)
   • GroqGPT
   • Other supported open-source models.

Step 3: Obtain an API Key

1. Subscribe to the free plan.
2. Create an API key.
3. Choose a model.

Step 4: Integrate the API into Your Application

Here is a Python example for using GroqCloud:

from openai import OpenAI  # Import OpenAI module for API interaction

client = OpenAI(
    base_url="https://api.groq.com/openai/v1",  # Replace with your API endpoint
    api_key="your_api_key",  # Replace with your API key
)

# Define the assistant's behavior and user input
messages = [
    {"role": "system", "content": "YOU ARE AN AGENT!"},  # Initial system instruction
    {"role": "user", "content": "Give me an idea to become rich."}, 
]

response = client.chat.completions.create(
    model="your_model",  # Replace with your chosen model
    messages=messages,  # Pass the conversation context
    stream=False  # Wait for the full response
)

# Extract and print the assistant's response
ai_response = response.choices[0].message.content
print(ai_response)

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4. Comparison of the Solutions

Criteria	Mistral AI	Groq
Available Models	Mistral models only	LLaMA, Mistral, Gemma
Platform	La Plateforme (serverless)	GroqCloud (hardware-based)
Cost	Generous free tier available	Limited free quota
Target Audience	AI app developers	AI developers and researchers

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Conclusion

By using Mistral’s La Plateforme and GroqCloud, you gain access to powerful tools for creating and experimenting with generative AI applications. Take advantage of the free plans to get started and explore the unique benefits of each solution.