Outsource work with AI Agents
Overwhelmed by tasks and short on staff? Large Action Models lighten the load with AI Agents.
How can I help you?
Models we work with
Large Action Model
We enable companies to harness the power of AI Agents integrated with Large Action Models (LAMs), driving efficiency, smarter decision-making, and innovation to fuel sustainable growth. Discover tailored AI Agent use cases across industries.
AI Chatbots
Vision AI Agents
AI Factory
AI for Education
Sales AI Agents
Healthcare AI Agents
Deploy your own AI within 5 minutes
from openai import OpenAI
client = OpenAI(
base_url = "https://integrate.api.nvidia.com/v1",
api_key = "$API_KEY_REQUIRED_IF_EXECUTING_OUTSIDE_NGC"
)
completion = client.chat.completions.create(
model="nvidia/llama-3.1-nemotron-70b-instruct",
messages=[{"role":"user","content":"Write a limerick about the wonders of GPU computing."}],
temperature=0.5,
top_p=1,
max_tokens=1024,
stream=True
)
for chunk in completion:
if chunk.choices[0].delta.content is not None:
print(chunk.choices[0].delta.content, end="")
Llama3.1 7b Nemotron Instruct
NVIDIA NIM provides microservices to accelerate generative AI model deployment across cloud, data centers, and workstations. Organized by model family, NIMs, such as those for large language models (LLMs), enhance enterprise applications with advanced natural language processing and understanding. Unlock superior AI performance and efficiency with NVIDIA NIM.
Do you need help with the integration? Reach out for a free demo
More than just content generation.
A Large Action Model (LAM) is transforming the future of AI Agents. Beyond understanding language, AI Agents autonomously perform real-world tasks, seamlessly interacting with systems and driving advanced robotics and automation. Imagine AI that doesn't just think but acts, turning visionary possibilities into groundbreaking realities.
Custom LAM integration
Fastest Deployment
Speech to music
Marketing copy
High-Quality Content
Custom LAM integration
Fastest Deployment
Speech to music
Marketing copy
High-Quality Content
Custom LAM integration
Fastest Deployment
Speech to music
Marketing copy
High-Quality Content
Image Generation
Email Generation
Idea Generation
Website Generation
Ecommerce AI
Image Generation
Email Generation
Idea Generation
Website Generation
Ecommerce AI
Image Generation
Email Generation
Idea Generation
Website Generation
Ecommerce AI
Customer Stories
Newsletter
Post / Article
FAQ
Email Marketing
Customer Stories
Newsletter
Post / Article
FAQ
Email Marketing
Customer Stories
Newsletter
Post / Article
FAQ
Email Marketing
So, how do we start?
Explore AI Agents
Discover the capabilities of our AI Agents through live demos and insights.
Test in Action
Evaluate how AI Agents perform using your own data and workflows.
Deploy Seamlessly
Integrate AI Agents into your operations for immediate impact and results.
Have any question? Find answer here.
Some frequently asked questions about our AI Agents, answered by our Administration AI Agent.
What are AI Agents?
AI Agents are intelligent systems designed to understand human intentions and execute specific tasks autonomously. They leverage advanced AI models to analyze data, make decisions, and perform actions without continuous human intervention. This capability enables them to handle complex tasks across various applications, enhancing efficiency and productivity.
How do Large Action Models (LAMs) differ from Large Language Models (LLMs)?
While both LAMs and LLMs are advanced AI models, they serve different functions. LLMs focus on understanding and generating human-like text based on input prompts, excelling in language comprehension and text generation. In contrast, LAMs are designed to orchestrate sequences of actions to achieve specific goals, effectively executing tasks like appointment booking or form completion directly within applications or systems.
What are the benefits of integrating AI Agents into business operations?
Integrating AI Agents into business operations offers several advantages:
Automation of Repetitive Tasks: AI Agents can handle routine tasks, freeing up human employees to focus on more strategic activities.
Enhanced Decision-Making: By analyzing vast amounts of data, AI Agents provide insights that support informed business decisions.
Cost Reduction: Automation and improved efficiency lead to significant cost savings over time.
Scalability: AI Agents can operate continuously and handle increasing workloads without the need for proportional increases in human resources.
What considerations should businesses keep in mind when deploying AI Agents?
When deploying AI Agents, businesses should consider:
Data Privacy and Security: Ensuring that AI Agents handle data in compliance with privacy regulations and protect sensitive information.
Ethical Use: Implementing AI responsibly to avoid biases and unintended consequences.
Human Oversight: Maintaining human-in-the-loop designs to monitor AI Agent actions and intervene when necessary.
Integration with Existing Systems: Ensuring that AI Agents can seamlessly integrate with current workflows and technologies.