IBM and the Spanish government are partnering to create a large language model for Spanish, aiming to improve access to AI applications for Spanish speakers. The collaboration will leverage IBM’s AI tools and open-source capabilities to develop and deploy advanced AI technologies. Key individuals involved include Darío Gil, IBM Senior Vice President and Director of IBM Research, and Pedro Sánchez, Prime Minister of Spain. The project also plans to develop models for dialects like Catalan, Basque, and Galician.
IBM and Spain’s Partnership to Develop Spanish Language AI Models
IBM and the Spanish government have recently announced a collaborative effort to develop advanced artificial intelligence (AI) technologies, including a large language model (LLM) specifically for the Spanish language. This initiative aims to address the current lack of robust AI tools trained on Spanish language materials, which has been a significant barrier for the nearly half a billion native Spanish speakers worldwide in accessing modern AI applications.
The partnership is expected to revolutionize how Spanish-speaking countries and organizations operate in the AI era. The focus is not only on the development of a Spanish LLM but also on the creation of other Spanish-language models, including those for related dialects such as Catalan, Basque, and Galician.
The Impact of Generative AI on Industries
Generative AI has had a profound impact on virtually every industry. However, much of the work conducted to date has been in English, leaving a significant portion of the global population at a disadvantage. Spanish, being the second-most spoken language in the world, has a vast number of speakers who lack access to AI applications trained in their native language.
The collaboration between IBM and the Spanish government aims to address this gap, providing hundreds of millions of people and countless businesses with access to AI applications trained in Spanish. This initiative is expected to significantly enhance the ability of Spanish-speaking countries and organizations to do business in the AI era.
The Role of IBM in the Collaboration
IBM’s role in this collaboration is pivotal, leveraging its extensive investments across the entire AI stack, from computing to models. The goal is to enable Spanish-speaking communities to contribute to strengthening the proposed model for additional use cases.
IBM’s Senior Vice President and Director of Research, Darío Gil, emphasized the company’s commitment to ensuring that AI is used ethically to drive sustainable growth in Spain and all Spanish-speaking countries worldwide. This collaboration is a testament to IBM’s dedication to fostering an open community that can fully harness the potential of AI technologies.
The Potential of Open-Source Large Language Models
The development of an open-source large language model (LLM) in Spanish is a significant part of this collaboration. LLMs are a type of AI model that can generate human-like text and have a wide range of applications, from translation and summarization to content creation and more.
The creation of a Spanish LLM will not only provide Spanish-speaking individuals and businesses with access to advanced AI tools but also allow for the strengthening of the model through contributions from the Spanish-speaking community. This collaborative approach to model development is expected to result in a more robust and effective tool for Spanish language AI applications.
The Broader Implications of the IBM-Spain Collaboration
The collaboration between IBM and the Spanish government has broader implications beyond the development of Spanish language AI models. It represents a significant step towards ensuring that AI technologies are accessible and beneficial to all, regardless of their native language.
Moreover, the initiative sets a precedent for future collaborations between tech companies and governments in developing AI tools for other languages. This could potentially lead to a more inclusive and diverse AI landscape, where no language community is left behind.
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