In enterprise AI, understanding and working across multiple languages is no longer optional — it’s essential for meeting the needs of employees, customers and users worldwide. Multilingual information retrieval — the ability to search, process and retrieve knowledge across languages — plays a key role in enabling AI to deliver more accurate and globally relevant
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Month: December 2024
Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity,…
Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity, summarization, and item recommendation. It also plays a pivotal role in retrieval-augmented generation (RAG), a technique that enables large language models (LLMs) to access external context without modifying underlying parameters.
NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. The new NVIDIA Jetson Orin Nano Super Developer Kit, which fits in the palm of a hand, provides everyone from commercial AI developers to hobbyists and students, gains in generative AI capabilities
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The generative AI landscape is rapidly evolving, with new large language models (LLMs), visual language models (VLMs), and vision language action (VLA) models…
The generative AI landscape is rapidly evolving, with new large language models (LLMs), visual language models (VLMs), and vision language action (VLA) models emerging daily. To stay at the forefront of this transformative era, developers need a platform powerful enough to seamlessly deploy the latest models from the cloud to the edge with optimized inferencing and open ML frameworks using CUDA.
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Welcome the Falcon 3 Family of Open Models!
Agentic AI workflows often involve the execution of large language model (LLM)-generated code to perform tasks like creating data visualizations. However, this…
Agentic AI workflows often involve the execution of large language model (LLM)-generated code to perform tasks like creating data visualizations. However, this code should be sanitized and executed in a safe environment to mitigate risks from prompt injection and errors in the returned code. Sanitizing Python with regular expressions and restricted runtimes is insufficient…
On Jan. 6 at 6:30 p.m. PT, NVIDIA founder and CEO Jensen Huang — with his trademark leather jacket and an unwavering vision — will step onto the CES 2025 stage. From humble beginnings as a busboy at a Denny’s to founding NVIDIA, Huang’s story embodies innovation and perseverance. Huang has been named the world’s
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2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to…
2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to empowering open-source contributions, these blog posts highlight the breakthroughs that resonated most with our readers. NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale Introduced in…
Data is the lifeblood of modern enterprises, fueling everything from innovation to strategic decision making. However, as organizations amass ever-growing…
Data is the lifeblood of modern enterprises, fueling everything from innovation to strategic decision making. However, as organizations amass ever-growing volumes of information—from technical documentation to internal communications—they face a daunting challenge: how to extract meaningful insights and actionable structure from an overwhelming sea of unstructured data.