On April 5, 2025, Meta Platforms announced its latest innovation in artificial intelligence: calls 4. This new generation of language models marks a significant advance in the AI ​​field, offering multimodal capabilities and unprecedented accessibility. But what really distinguishes 4 of its predecessors and other models in the market? Who did he intend? And why is it excited so much interest?
Open source more powerful and accessible than ever
With flame 4, goal continues its opening strategy by offering a high quality language model, without the limitations of proprietary solutions. Unlike its competitors, call 4 is available in open source, which allows researchers, developers and companies to adopt it, customize and integrate it into custom -made tools, without prohibitive license costs. This policy aims to stimulate collective innovation through democratization of access to large -scale natural language treatment capabilities.
Actions that compete with market leaders
With flame 4, goal continues its opening strategy by offering a high quality language model, without the limitations of proprietary solutions. Unlike its competitors, call 4 is available in open source, which allows researchers, developers and companies to adopt it, customize and integrate it into custom -made tools, without prohibitive license costs. This policy aims to stimulate collective innovation through democratization of access to large -scale natural language treatment capabilities.
Actions that compete with market leaders
Trained in a massive and multilingual corpus, call 4 can generate fluid and coherent content, answer complex questions, summarize voluminous texts, precisely translate several languages ​​and solve logical or mathematical problems with structured reasoning. All with optimized energy consumption thanks to an effective architecture, which constitutes an important problem, while the demand for calculation resources explodes in the generative1.
Call 4: reinforced security and reduced prejudices
Biases, hallucinations and security problems are crucial in AI models. Goal is aware of this and has focused on these aspects on flame 4. Several devices have been integrated to improve reliability and limit derivations:
Reinforced supervised learning : Call 4 has benefited from a reinforcement for human learning (learning reinforcement learning2.
Intelligent integrated moderation : Meta offers integrated filtering and monitoring tools for safer professional or educational use, good news for schools, companies and developers related to compliance.
Concrete applications in several sectors
Llama 4 versatility allows you to transform many aspects of our daily life. Here are three key areas where its uses stand out:
In education : It allows the creation of personalized educational content, assistance to the drafting of tasks and support for students through conversation agents. The experiments carried out in several European establishments have demonstrated an increase in 18 % Student commitment when they benefit from adapted educational tools (European Edtech Report, 2024).
In health : Call 4 facilitates the generation of medical file summaries, diagnostic assistance by crossing symptoms with reliable databases and instant translation for patients who are not cold, thus satisfying the needs of health establishments in a context of personnel shortage and high administrative pressure3.
In companies and administrations : Automates the writing of reports or emails, improves chatbots for customer service and summarizes meetings by extracting key decisions. According to a survey conducted in 2024 by Gartner, 68 % Companies plan to integrate a large language model (LLM) in their operational processes by 20264. Call 4 offers an effective and controllable open source alternative, reducing costs related to proprietary licenses. In addition, its integration increases the productivity of employees of 20 % On average, when used in editorial or data synthesis tasks5. Its compatibility with multilingual environments is a strategic advantage for international groups and public institutions.
Call 4: An important advance for open source AI
By offering flame 4, goal provides an open, ethical and modular alternative to dominant patented models. Thanks to its improved contextual understanding capabilities, its integration flexibility and integrated security devices, call 4 meets the growing requirements of professionals and institutions in applied artificial intelligence matters. Therefore, this model helps structure a more inclusive digital ecosystem, based on exchange, transparency and responsible innovation, to the service of research and society.
What conditions for an ethical and sustainable development of open source AI?
If it calls 4 marks a significant step in the democratization of artificial intelligence, it also raises new problems. How to supervise the reuse of these open models in sensitive contexts? What technical, legal and ethical standards should we develop to support its implementation? Researchers, developers and institutional decision manufacturers are now responsible for defining together the conditions for ethical and safe use of these open technologies, for the benefit of organizations and the general interest.
References
1. Energy efficiency in training and inference of AI: art state, IEEE Access, 2024.
2. Ouyang et al., Training language models with human feedback, OpenAi, 2022.
3. World Health Organization, Hospital Work Load Report, 2023.
4. Gartner, in Enterprise Operations Survey, 2024.
5. McKinsey & Company, the economic potential of the generative AI, June 2023.
