AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit Raychowdhury, a professor and Steve W. Cedex school chair of electrical engineering at
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Adobe Creative Cloud applications, which tap NVIDIA RTX GPUs, are designed to enhance the creativity of users, empowering them to work faster and focus on their craft.
As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A…
As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A partnership between NVIDIA and DDN Storage is setting new standards in this area. By integrating NVIDIA BlueField DPUs into DDN EXAScaler and DDN Infinia and using them innovatively, DDN Storage is transforming data-centric workloads.
Meta’s Llama collection of large language models are the most popular foundation models in the open-source community today, supporting a variety of use cases….
Meta’s Llama collection of large language models are the most popular foundation models in the open-source community today, supporting a variety of use cases. Millions of developers worldwide are building derivative models, and are integrating these into their applications. With Llama 3.1, Meta is launching a suite of large language models (LLMs) as well as a suite of trust and safety models…
Enterprises are sitting on a goldmine of data waiting to be used to improve efficiency, save money, and ultimately enable higher productivity. With generative…
Enterprises are sitting on a goldmine of data waiting to be used to improve efficiency, save money, and ultimately enable higher productivity. With generative AI, developers can build and deploy an agentic flow or a retrieval-augmented generation (RAG) chatbot, while ensuring the insights provided are based on the most accurate and up-to-date information. Building these solutions requires not…
Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not…
Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not hallucinated. While various retrieval strategies can improve the recall of documents for generation, there is no one-size-fits-all approach. The retrieval pipeline depends on your data, from hyperparameters like the chunk size…
The newly unveiled Llama 3.1 collection of 8B, 70B, and 405B large language models (LLMs) is narrowing the gap between proprietary and open-source models. Their…
The newly unveiled Llama 3.1 collection of 8B, 70B, and 405B large language models (LLMs) is narrowing the gap between proprietary and open-source models. Their open nature is attracting more developers and enterprises to integrate these models into their AI applications. These models excel at various tasks including content generation, coding, and deep reasoning, and can be used to power…
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Creating Synthetic Data Using Llama 3.1 405B
Synthetic data isn’t about creating new information. It’s about transforming existing information to create different variants. For over a decade, synthetic…
Synthetic data isn’t about creating new information. It’s about transforming existing information to create different variants. For over a decade, synthetic data has been used to improve model accuracy across the board—whether it is transforming images to improve object detection models, strengthening fraudulent credit card detection, or improving BERT models for QA. What’s new?
NVIDIA today announced a new NVIDIA AI Foundry service and NVIDIA NIM™ inference microservices to supercharge generative AI for the world’s enterprises with the Llama 3.1 collection of openly available models, also introduced today.
Generative AI applications have little, or sometimes negative, value without accuracy — and accuracy is rooted in data. To help developers efficiently fetch the best proprietary data to generate knowledgeable responses for their AI applications, NVIDIA today announced four new NVIDIA NeMo Retriever NIM inference microservices. Combined with NVIDIA NIM inference microservices for the Llama
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