Generative AI is transforming enterprises by driving innovation and boosting efficiency across numerous applications. However, adopting large foundational…
Category: Misc
NVIDIA just announced a series of small language models (SLMs) that increase the amount and type of information digital humans can use to augment their…
NVIDIA just announced a series of small language models (SLMs) that increase the amount and type of information digital humans can use to augment their responses. This includes new large-context models that provide more relevant answers and new multi-modal models that allow images as inputs. These models are available now as part of NVIDIA ACE, a suite of digital human technologies that brings…
Meta’s Llama collection of open large language models (LLMs) continues to grow with the recent addition of Llama 3.3 70B, a text-only instruction-tuned model….
Meta’s Llama collection of open large language models (LLMs) continues to grow with the recent addition of Llama 3.3 70B, a text-only instruction-tuned model. Llama 3.3 provides enhanced performance respective to the older Llama 3.1 70B model and can even match the capabilities of the larger, more computationally expensive Llama 3.1 405B model on several tasks including math, reasoning, coding…
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.
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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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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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…