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Translation Augmented Generation: Breaking Language Barriers in LLM Ecosystem
Authors: Raghavan Muthuregunathan, Jigisha Mavani The LF AI & Data Generative AI Commons is dedicated to fostering the democratization, advancement and adoption of efficient, secure, reliable, and ethical Generative AI...
LF AI & Data Advances Responsible AI Through AISIC Collaboration
Authors: Matt White, Susan Malaika, Ali Hashmi, Ofer Hermoni, Vini Jaiswal, Andreas Fehlner, Mi Novac In February 2024, LF AI & Data became a part of the AI Safety Institute...
Transforming Conversational Assistants: Open Voice Interoperability Initiative at Work
By Deborah Dahl Conversational assistants are becoming ubiquitous, from advanced AI systems like ChatGPT to everyday tools like Alexa. They all share the ability to understand and respond to natural...
Data-Centric AI: the Systematic Engineering of Data to Build AI Systems
By Irving Wladawsky-Berger After decades of promise and hype, artificial intelligence has finally become the defining technology of our era. Over the past few decades, the necessary ingredients have come together to propel AI...
The Relaunch of the LF AI & Data Outreach Committee
The LF AI & Data Foundation is thrilled to announce the relaunch of our Outreach Committee, a vital component dedicated to expanding our industry presence and impact. This committee plays...
Generative AI development is going cloud native and open source… How to make sense of it and what’s next?
Generative AI adoption patterns are quickly evolving. From the initial LLM curiosity right after the ChatGPT release, to consolidated enterprise use cases, justified (and sometimes unjustified) ROI exercises, and the...
Simplify Generative AI Model Development on Kubernetes with Datashim
Authors: Alessandro Pomponio, Srikumar Venugopal, Michael Johnston Generative AI model development, including tasks such as training, fine-tuning, and inferencing, is often performed in cloud environments thanks to the ease of...
Introducing the Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI
The MOF in a Nutshell The field of artificial intelligence (AI) is at an inflection point. The rapid rise of generative AI systems and large language models (LLMs) has unlocked...
LF AI & Data Foundation Launches Open Platform for Enterprise AI (OPEA) for Groundbreaking Enterprise AI Collaboration
Open source solution empowers enterprises with open, multi-provider AI systems to drive unprecedented innovation and value for Generative AI SAN FRANCISCO – April 16, 2024 – Today, the LF AI...
