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Creating Value
Set everything in motion for success
Catalyze your
business with AI
To excel, being an expert is not enough – you need to excel in many areas.
Services
Useful and Creative
Let's explore together how AI can not only address your current challenges but also unlock your company's creative and strategic potential. Together, we'll transform your ideas into concrete solutions.
Explore Your Innovation Potential
Nous explorons ensemble les opportunité et projets porteurs où l’IA peut faire la différence. Cette démarche collaborative est conçue pour définir clairement comment vous pouvez rapidement et sûrement tirer parti de l'IA pour transformer votre entreprise.
Implement with proof of concepts and Ai Applications
Together, we design and execute pilot projects to test the effectiveness of AI in your specific environment, allowing you to see real benefits before a wider rollout.
Select the Best Tools
Let's explore together how AI can not only address your current challenges but also unlock your company's creative and strategic potential. Together, we'll transform your ideas into concrete solutions.
Optimize Data
Together, we create robust data pipelines and transformations to feed your AI with high-quality data, ensuring optimal performance.
Operationalize
Integrate AI models into your daily operations. We use cutting-edge MLOps practices to ensure continuous maintenance and optimization, keeping you at the forefront of technology.
Control quality
We establish precise methods to evaluate and maintain the performance of your AI solutions, both offline and online, ensuring reliable and effective results.
Deciphering the Language of AI
Understand the Terms and Concepts
Artificial Intelligence (AI) is a computer system that can learn and improve over time. Contrary to popular belief, AI is not a physical robot, but rather a set of technologies present in the cloud, constantly working around us. It excels at analyzing large amounts of data, predicting outcomes, and identifying patterns that humans might miss.
Beyond learning, modern AI also includes a powerful generative dimension. AI systems can now create original content, whether it’s text, images, videos, or even code.The context window (or context length) is the amount of information an AI model can consider at any given time. It's like the AI's "short-term memory." The wider this window is, the more the AI can understand and use complex and long-term information, thus improving its comprehension and responses.
The importance of the context window can be compared to reading a detective novel. A small context window would be like reading the book in small chunks, forgetting details between each session. A large context window would allow you to see the entire book at once, fully understanding the plot, characters, and clues. This allows the AI model to better process complex and interconnected information, like solving the novel's mystery by keeping all elements in memory simultaneously.
An AI agent is an autonomous program designed to perform specific tasks or achieve defined objectives. It can perceive its environment (digital or physical), make decisions, and act accordingly. Agents can range from simple programs performing single tasks to complex systems capable of learning and adapting.
The future of AI agents according to Mark Zuckerberg
Mark Zuckerberg envisions a future where AI agents will be ubiquitous:
Massive proliferation: He predicts there will be hundreds of millions, even billions of different AI agents, potentially outnumbering humans.
Democratization: The goal is to enable every creator and small business to create their own AI agents. This would give every platform user the ability to interact with customized AI agents.
Agents for businesses: Zuckerberg believes that every business, regardless of size, will be able to easily create an AI agent for:
- Customer service
- Sales
- Customer communication
Omnipresence of agents: Just as businesses today have an email address, a website, and a social media presence, they will have an AI agent in the future that their customers can talk to.
Ease of creation: The goal is to make creating an AI agent as simple as a few clicks, allowing even small businesses to benefit from this technology.
This vision underscores the growing importance of AI agents in the future technological and commercial landscape, opening up new possibilities for interaction between businesses and their customers.
"Text to action" is an AI technology that translates textual instructions into concrete actions within a computer system or virtual environment. For example, a user could write "send an email to John," and the system would automatically execute this action. This technology allows for a more natural and intuitive interaction with computer systems.
RAG (Retrieval-Augmented Generation) is an AI technology that enhances response generation by integrating external information in real-time. Rather than relying solely on its pre-existing knowledge, a RAG system performs a quick search, integrates relevant information into the context of the question, and then generates a response. This approach allows for more accurate and up-to-date answers.
RAG significantly expands an AI model's context window, which is the amount of information it can process simultaneously. Instead of being limited to its internal "memory," the model accesses a vast set of external data for each query. This synergy between RAG and a large context window allows for the creation of more powerful AI agents, capable of providing more relevant and well-informed answers while staying up-to-date with the most recent information.
Conversational agents are AI programs that interact with humans using natural language. Used in customer service and marketing, they offer 24/7 availability and great scalability. These agents use natural language processing, machine learning, and often RAG to personalize interactions and provide accurate responses.
Recent evolution has led to highly sophisticated agents like ChatGPT and Claude.ai. These systems go beyond preprogrammed responses, understanding context, generating creative content, and helping to solve complex problems.
The latest advancement is the evolution towards multi-modal capabilities, allowing these agents to understand and generate not only text, but also images, videos, and audio. This multi-modal capability opens up new possibilities for richer and more intuitive human-machine interaction.