LF AI & Data Foundation, a division of the Linux Foundation, launched a working group on Tuesday that will focus on the development of DocLang, a specification intended to support interoperable document processing across AI and agentic workflows.
The working group, founded by premier members IBM, Nvidia and Red Hat, is tasked with the creation of an open, universal, AI-native document format designed to improve how enterprises prepare, exchange, and govern document data for AI systems. Contributors ABBYY and Human Signal will also be involved in its development.
The announcement stated, “enterprises today work across a fragmented landscape of document formats, including PDFs, JPEGs, and other file types built primarily for human consumption rather than AI interpretation.”
As organizations increasingly rely on generative AI and agentic systems, it said, “this disconnect can introduce complexity, raise costs, and reduce reliability when extracting meaning from business documents.”
Mark C
In this tutorial, we work with NVIDIA's Nemotron-Pretraining-Code-v3 dataset as a large-scale metadata index for code pretraining research. We stream the dataset instead of downloading it, inspect its schema, and build a manageable sample. We analyze languages, file extensions, repository frequency, and directory depth to understand the index structure. We then reconstruct raw GitHub URLs, fetch real source files, and estimate the token scale of the fetched code.
The post Building a Code Dataset Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with Streaming, Pandas, and tiktoken appeared first on MarkTechPost.
The collaboration enhances AI capabilities while reinforcing data privacy, marking a pivotal shift in cloud computing security standards.
The post Nvidia expands Confidential Computing for Apple’s Private Cloud Compute on Google Cloud at WWDC26 appeared first on Crypto Briefing.
Deepgram's secure voice AI deployment could revolutionize data-sensitive sectors by enabling advanced AI use without compromising privacy.
The post Deepgram partners with Fortanix and Nvidia for secure voice AI deployment in regulated industries appeared first on Crypto Briefing.
NVIDIA GPUs with Confidential Computing are now used for confidential inference in Apple’s Private Cloud Compute (PCC), as it expands beyond Apple’s data centers to Google Cloud. Unveiled during Apple’s annual WWDC gathering for developers from around the globe, NVIDIA GPUs will support server-side inference for Apple Foundation Models, custom-built by Apple and Google, leveraging […]
AI's struggle with continuous learning reveals a critical gap between artificial and human cognitive processes.
The post Chris Summerfield: AI systems mimic human behavior through vast data training, the challenge of continuous learning remains unsolved, and sleep is vital for cognitive function | The Peter McCormack Show appeared first on Crypto Briefing.
D-Matrix's Corsair chip could disrupt AI hardware markets, challenging Nvidia's dominance and prompting shifts in data center strategies.
The post D-Matrix claims Corsair chip outperforms Nvidia GPUs in AI inference appeared first on Crypto Briefing.
New specification, supported by leading LF AI & Data member organizations IBM and Red Hat, as well as other organizations including ABBYY, complements the Docling open source project SAN FRANCISCO, […]
The post LF AI & Data Foundation Launches DocLang Specification Working Group appeared first on AIwire.
