As organizations transition from generative AI experiments to deploying and scaling generative AI applications in production, the focus on production model deployment for inference – where AI delivers results – is growing. Join us for an engaging webinar where we'll explore real-world case studies and …

Speech AI technologies such as automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) automate millions of conversations today. They provide customers with a personalized human-like experience through such applications as Virtual Assistant, Contact Center …

Most organizations believe that adopting advanced speech, translation, and generative AI improves user experience. They look for ways to integrate them into their businesses to transform user experiences with digital applications globally. Join us at Speech and Generative AI Developer Day to …

Join Imbue CEO Kanjun Qiu and Bryan Catanzaro, vice president of applied deep learning research at NVIDIA, for a discussion on AI agents and the next chapter in AI innovation. Launched in October 2022, imbue recently announced a $210 million-plus Series B fundraiser at $1 billion valuation to create the…

Discover how BNP Paribas is using NVIDIA's GPUs, DGX systems, TensorRT, and NGC catalog to build its next-generation virtual assistants for retail banking. We'll highlight the benefits of deploying generative AI in the financial sector, showing how the former has the potential to reshape the latter. We'll also …

Discover a unique dataset that has been designed for Large Language Model fine-tuning in the Telco domain from a large variety of data sources. Learn about an efficient way to adapt a 7B large language models (LLMs) to a technical domain using a maximum of three NVIDIA A100 40GB GPUs through a …

With generative AI, enterprises can build chatbots, copilots, and virtual assistants that have super intelligence in front of their most valuable data, improving efficiency but also providing a powerful competitive differentiator. The technique to accomplish this, retrieval-augmented generation, …

As in most enterprises, NVIDIA generative AI projects to improve productivity and speed time-to-innovate are proliferating across the company — we call it “chat labs.” Learn how NVIDIA is approaching this transformational opportunity, sharing the lessons learned from these early-stage …

Retrieval-augmented generation (RAG) has become the biggest use case for large language model (LLM)-powered chatbots, a paradigm that offers updating of an LLM’s knowledge base and mitigates its hallucinations. We'll cover foundations of the RAG architecture, including key considerations and …

AI is a key enabler for telco evolution. This session will focus on how KT and NVIDIA have collaborated to enable AI-driven telco transformation with the Mi:dm large language model. KT operates wired and wireless communication services and paid broadcasting services for individual and corporate …

This panel discussion brings together thought leaders from the financial services industry to explore the transformative role of generative AI in shaping the future of finance. Delving into the applications of AI-driven technologies, we'll examine how generative AI is redefining customer experiences, risk …

We'll introduce retrieval augmented generation (RAG), an AI technology that can search and generate answers from large data sources. RAG can help federal agencies improve their efficiency, decision-making, and data governance. We'll cover the basics of RAG, its use cases in different federal …

Our panel of experts will talk about the best practices for building robust large language model (LLM)-based enterprise applications that deliver value and efficiency. Products such as ChatGPT have demonstrated the unprecedented power of LLMs in processing information and generating content. …

First, we'll explore OpenAI’s perspective on the direction of the market, gaining insights into their vision for the future. Then we'll examine how these AI tools are currently being used in practical applications, providing real-world examples to illustrate their effectiveness. We'll also discuss the apps that are …

Discover how LLMs (Large Language Models) can revolutionize the shopping experience by providing unprecedented personalized recommendations and insights, elevating retail to new heights. Learn more about NVIDIA’s shopping advisor. For more information, visit https://www.nvidia.com/en-…

Video conferencing continues to redefine our workplace, and NVIDIA continues to enable developers to redefine video conferencing. The NVIDIA Maxine AI developer platform for video and audio enhancement gives developers the tools to create highly personalized and engaging video …

Traditional service assurance chatbots primarily work using keyword searches on article knowledge bases. This method introduces inefficiencies with respect to the semantic relevancy of retrieved information, which leads to dissatisfied customers and increased help desk call transfers. We’ll …

The Tencent Text-to-Image model is a brand new two-stage image generation model with billions of parameters, achieving multiple industry-leading technological breakthroughs. This model is very competitive in real image generation, virtual image generation, and stylized image generation, and …

Large language and vision language models running on NVIDIA DRIVE today are redefining the next generation of automobiles. Vehicle cockpits are becoming a whole new experience: instead of touch screens and voice commands, there’ll be a much more intuitive natural language interaction with the…

Generative AI is transforming every industry and enabling organizations to unlock new opportunities. NVIDIA and Anyscale have partnered to make developing and deploying generative AI easy, enabling developers to start with open-source for development and deploy to enterprise-ready AI platforms for …

Exploring the intersection of biology and artificial intelligence, this panel will delve into the transformative role of AI, from graph machine learning to large language models, in drug discovery. Renowned experts will discuss the acceleration of in silico experiments, the challenges, and the role …

Large language models (LLMs) provide new possibilities for engaging and intelligent conversational systems. However, productionizing and managing these models and ensuring they work to your advantage can be challenging. Two key strategies that can help are RAG-workflows and NeMo …

With the emergence of large language models and AI-generated content (AIGC) technologies, it became possible to build a more intelligent, immersive, and interactive digital human. With Mobvoi, a company that mainly focus on speech AI and generative AI technologies, we'll discuss the challenges …

As generative AI becomes increasingly prevalent and sophisticated, it offers new opportunities for marketers to increase personalization and automate content creation. We’ll present a real-world use case demonstrating automation initiatives. We’ll share how our customer’s digital department, at one…

While immersed in a game, it feels as if you're in a real 3D scene, and there's a realistic non-player character (NPC) that feels lifelike. The NPC is precisely as the game designer or author intended. It follows the game narrative, and behaves and acts naturally. Learn how this is possible using Convai's …

In the face of high computational demands from large language models (LLMs), we present an experimental approach to model pruning and fine-tuning to overcome these resource challenges. Navigate through our systematic process of turning a 7 billion parameter LLama2 model into a …

The U.S. Department of Defense (DoD) faces specific challenges to acquiring and scaling the computational power needed for AI applications. This panel brings together perspectives from Task Force Lima, the DoD's Generative AI Task Force, and NVIDIA's technical experts to discuss how …

As large language models (LLMs) are rapidly integrated into every industry, edge AI is crucial for enabling faster, more secure, and efficient data processing, particularly for applications where real-time analytics and decision-making are essential. We'll explore the transformative potential of deploying …

Join us for an engaging talk as we delve into the thriving market of generative AI and large language models (LLMs) in healthcare life sciences. This sector has witnessed remarkable growth, with its value soaring from $1.2 billion in 2022 to a projected $24.9 billion by 2032. Our speakers include a …

The landscape of large language models (LLMs) is evolving quickly. With model parameters and size increasing, optimizing and deploying LLMs for inference gets very complex. This requires a framework with better API support for easy extension, where there is little emphasis on memory management or…

With the rise of generative AI, artificial intelligence has become a common topic of discussion, bringing chat and image generation to the forefront of everyday conversations. As this technology continues to advance, Generative AI is demonstrating its ability to drive new innovations for enterprises, …

Join a distinguished panel of Kaggle Grandmasters and experts in computer vision, large language models (LLMs), and data science competitions as they shed light on best practices in AI and the competitive landscape. Topics include: • LLM optimization: Unlock strategies for faster, accurate …

Alignment with human feedback is a crucial aspect of large language model deployments. The dominant alignment approaches, reinforcement learning from human feedback and direct preference optimization, have a major downside: they require paired preference data, incurring expense and …