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Download resources for ImagineFX 248

Phil
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Download resources for ImagineFX 248

Downloading the Accompanying Files for ImagineFX Issue 248

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FAQs

Q: How do I access the accompanying files for ImagineFX issue 248?
A: To access the files, follow the link provided and click on the "Download" button.

Q: What if I’m having trouble downloading the files?
A: Try right-clicking on the link and opening it in a new browser window, or selecting all of the link in the URL address line and pressing the Return key.

Q: What if I still experience issues downloading the content?
A: Contact our team at rob.redman@futurenet.com for assistance.

Deploy AI-Powered Agents and Avatars on NVIDIA RTX PCs

Jordan Waverly
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Deploy AI-Powered Agents and Avatars on NVIDIA RTX PCs

NVIDIA ACE Introduces Its First Multi-Modal SLM

To elevate the responses of digital humans, they must be able to ingest more context of the world, just like humans do. The NVIDIA Nemovision-4B-Instruct model is a small multi-modal model that enables digital humans to understand visual imagery in the real world and on the Windows desktop to output relevant responses.

This model uses the latest NVIDIA VILA and NVIDIA NeMo framework and recipe for distilling, pruning, and quantizing to make it small enough to be performant on a broad range of NVIDIA RTX GPUs while maintaining the accuracy that developers need. Multi-modality serves as the foundation for agentic workflows and enables digital humans that can reason and take action with little to no assistance from a user.

Solving Larger Problems Requires Large-Context Language Models

The new family of large-context SLMs are designed to handle large amounts of data inputs. This enables the model to understand harder prompts. The Mistral-NeMo-Minitron-128k-Instruct family of models has 8B, 4B, and 2B parameter versions for those looking to optimize between speed, memory usage, and accuracy on NVIDIA RTX AI PCs. These large-context models can process large sets of data in a single pass, which can reduce the need for segmentation and reassembly and provide greater accuracy.


New Updates to Audio2Face-3D NIM Microservice

When building these more intelligent digital humans, you need realistic facial animation to ensure authentic interactions that feel believable.

The NVIDIA Audio2Face 3D NIM microservice uses audio in real time to provide lip-sync and facial animation. Now, the Audio2Face-3D NIM microservice, an easy-to-use inference microservice for accelerated deployment, is available as a single downloadable optimized container. This NVIDIA NIM microservice exposes new configurations for improved customizability. It also includes the inference model used in the “James” digital human for public use.

Deploying Digital Humans for NVIDIA RTX AI PCs Made Easier

It’s challenging to orchestrate animation, intelligence, and speech AI models efficiently and optimize the pipeline for the quickest response time for PCs with the highest accuracy.

NVIDIA is announcing new SDK plugins and samples for on-device workflows available now. This collection includes NVIDIA Riva Automatic Speech Recognition for speech-to-text transcription, a retrieval augmented generation (RAG) demo and reference implementation, and an Unreal Engine 5 sample application powered by Audio2Face-3D.

These on-device plugins are built on the NVIDIA In-Game Inference SDK, available in beta today. The In-Game Inference SDK simplifies AI integration by automating model and dependency download, abstracting away the details of inference libraries and hardware, and enabling hybrid AI, where the application can easily switch between AI running on the PC and AI running in the cloud.

Conclusion

NVIDIA’s latest advancements in small language models and large-context language models are designed to help developers create more intelligent digital humans that can understand and respond to a wide range of inputs. With the introduction of the NVIDIA Audio2Face 3D NIM microservice and new SDK plugins and samples, deploying digital humans on NVIDIA RTX AI PCs has never been easier.

FAQs

Q: What is the main difference between the NVIDIA Nemovision-4B-Instruct model and other language models?
A: The NVIDIA Nemovision-4B-Instruct model is a small multi-modal model that enables digital humans to understand visual imagery in the real world and on the Windows desktop to output relevant responses.

Q: What are the benefits of using large-context language models?
A: Large-context language models can process large sets of data in a single pass, which can reduce the need for segmentation and reassembly and provide greater accuracy.

Q: How do the new SDK plugins and samples simplify AI integration?
A: The new SDK plugins and samples simplify AI integration by automating model and dependency download, abstracting away the details of inference libraries and hardware, and enabling hybrid AI, where the application can easily switch between AI running on the PC and AI running in the cloud.

Q: What is the NVIDIA In-Game Inference SDK?
A: The NVIDIA In-Game Inference SDK is a new SDK that simplifies AI integration by automating model and dependency download, abstracting away the details of inference libraries and hardware, and enabling hybrid AI, where the application can easily switch between AI running on the PC and AI running in the cloud.

Adobe Teases Magical Reflection Removal Tool in Photoshop

Phil
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0
Adobe Teases Magical Reflection Removal Tool in Photoshop

Adobe’s Reflection Removal Tool: A Game-Changer for Photographers

I was at Adobe Max LA in 2023 when they revealed Photoshop’s new Reflection Removal tool as a Sneak, though at the time it was called Project See Through. Provoking genuine gasps from the audience, it’s one of the most useful tools I’ve seen during one of these events, because it could actually be essential in your everyday workflow.

How it Works

The AI can tell the difference between the two parts of the photo by judging the colour and sharpness. It can then isolate and remove the unwanted elements. It won’t work on anything very badly damaged by reflection – it works in the same way as a person viewing the picture. If you can’t unscramble what you’re looking at then neither can the AI.

Removing Reflections with Ease

Just imagine how often pesky reflections get in the way of your incredible photography. (See more Adobe AI magic in the best Photoshop tutorials). The tool is designed to delight even the most basic user, making it a valuable addition to your workflow.

Getting Started

Currently just available on RAW files, it will soon also be coming to JPGs and HEICs. You can access the tool by opening the Camera RAW tool and going to the Technology Preview panel. There you’ll find the New AI Settings and Features Panel. Finally, restart Photoshop or Bridge. When you open a RAW file you’ll have the option to use a slider to adjust how clearly you can see the reflection on the image.

Conclusion

Adobe’s Reflection Removal tool is a game-changer for photographers, making it easy to remove unwanted reflections from your images. With its AI-powered technology, it’s a valuable addition to your workflow, and we can’t wait to see what other exciting features Adobe has in store for us.

FAQs

Q: Is the Reflection Removal tool available on all file types?
A: Currently, it’s available on RAW files, but it will soon be coming to JPGs and HEICs.

Q: How do I access the Reflection Removal tool?
A: You can access the tool by opening the Camera RAW tool and going to the Technology Preview panel. There you’ll find the New AI Settings and Features Panel.

Q: Will the tool work on badly damaged reflections?
A: No, the tool won’t work on anything very badly damaged by reflection – it works in the same way as a person viewing the picture. If you can’t unscramble what you’re looking at then neither can the AI.

Q: Do I need to restart Photoshop or Bridge after accessing the tool?
A: Yes, you’ll need to restart Photoshop or Bridge after accessing the tool.

Google’s Veo 2 video generator takes on Sora Turbo

Emerson Blake
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Google’s Veo 2 video generator takes on Sora Turbo

Google Unveils Veo 2: A State-of-the-Art Text-to-Video Generator

Improving on Real-World Physics

Google has launched Veo 2, a text-to-video generator that boasts improvements from its previous model, including a better understanding of real-world physics. This enables the AI to produce videos with more detail and realism. The videos generated by Veo 2 can reach up to 4K resolution and can tackle common video generator challenges, including hallucinations such as extra fingers.

Outperforming Competitors

When evaluated by human raters against other leading video models, including Sora Turbo, Kiling v1.5, and Meta Movie Gen, Veo 2 was voted best on overall performance and prompt adherence.

Understanding Cinematography Language

Veo 2 also understands cinematography language, such as a specific genre, lens, or angle. For example, if a user says "shallow depth of field," Veo 2 knows to blur out the subject’s background to produce the effect. This is demonstrated in the video below, which was created with a shot that specifically said, "Shot with a 35mm lens on Kodak Portra 400 film."

Availability and Accessibility

The model is available to the public and can be accessed in VideoFX in Google Labs. The early access waitlist form asks for basic information such as age, name, place of residence, relevant work, and how you heard about it. Submissions are reviewed on a rolling basis.

Improvements to Imagen 3

Google also shared that it has improved its Imagen 3 image-generation model to generate "brighter and better composed" images. The improved model can generate more diverse styles and output images with higher prompt fidelity, richer details, and textures.

Availability of Imagen 3

This version of Imagen 3 is rolling out to the public via ImageFX in Google Labs starting today, and unlike VideoFX, it does not require a waitlist. The previous version of Imagen 3 was already very capable, ranking as the best AI image generator on ZDNET’s 2024 roundup.

Introducing Whisk

Lastly, Google unveiled Whisk, a new experiment that is also available in Labs. This tool allows users to create an image — or input their own — and transform it into a new image in the style of a plushie, pin, or sticker. It leverages Imagen 3 and Gemini, creating detailed captions for your image that are fed into Imagen 3 to create the final products.

Conclusion

Google’s latest advancements in AI-generated content, including Veo 2, Imagen 3, and Whisk, demonstrate the company’s commitment to pushing the boundaries of machine learning and computer vision. These tools have the potential to revolutionize the way we create and interact with visual content.

Frequently Asked Questions

Q: What is Veo 2?
A: Veo 2 is a text-to-video generator that uses real-world physics to produce high-quality videos.

Q: How does Veo 2 work?
A: Veo 2 uses a combination of natural language processing and computer vision to generate videos based on text prompts.

Q: Is Veo 2 available to the public?
A: Yes, Veo 2 is available in VideoFX in Google Labs, but it requires an early access waitlist.

Q: How do I access Imagen 3?
A: Imagen 3 is available in ImageFX in Google Labs, and it does not require a waitlist.

Add Extensions to Gemini

Avery Winslow
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0
Add Extensions to Gemini

Google’s New AI Assistant: Gemini’s Got a Few Kinks to Work Out

The Frustrating Experience

I was driving home the other day and wanted to call my partner to let him know that I was stuck in traffic. As I’ve got a relatively old car, I rely on my phone for calls, music, and more. Usually, there’s no problem, but this time, when I said, "Hey Google, call Jim on his mobile!" my phone informed me that Gemini doesn’t do that.

The Reason Behind the Frustration

It turned out that I had recently installed Google’s new AI virtual assistant, Gemini, which had automatically shut down Google Assistant. Gemini, being brand new and not fully baked, was still missing many of the features of Google Assistant, including making phone calls and sending texts.

The Workaround: Enabling Apps Activity

However, there is a way to increase Gemini’s features. You need to add extensions, just like you would add them to Google Chrome. But, I hadn’t turned on Gemini Apps Activity, which logs and stores all your Gemini activity. Without Apps Activity turned on, extensions don’t work.

Turning on Gemini Apps Activity

To turn on Gemini Apps Activity, you can:

  • In the mobile app, tap on your personal icon in the upper-right corner and select Gemini Apps Activity.
  • On the web, go to myactivity.google.com/product/gemini.
  • Select the Turn on button, and agree to the terms of what is saved (e.g., your chats, product usage information, and location), for how long (18 months, although you can switch to three or 36 months), and for what (the usual corporate "to provide, improve, and develop Google products").

Accessing Gemini’s Extensions

Once Apps Activity is enabled, you can access Gemini’s extensions. You can ask Gemini to do something, and if there’s an extension to help, it will automatically access it. Or, you can browse the available extensions by going to gemini.google.com (via the web) or tapping your personal icon (on the mobile app).

The Available Extensions

I tried out some of the available extensions, including:

  • Google Workspace, to summarize or receive answers from Gmail, Google Calendar, Google Docs, Google Drive, Google Keep, and Google Tasks content.
  • Google MessagesPhoneUtilities, to open apps, set timers and alarms, and handle other settings.
  • Google Flights for flight info.
  • Google Hotels to search for hotels.
  • Google Maps to get "location-based information."
  • YouTube and YouTube Music to find videos and music selections.
  • And a few non-Google apps: Spotify, WhatsApp, and OpenStax.

Deleting Your Activity

If you’d rather not make all your Gemini activity permanently available, you can set an auto-delete for activity older than three, 18, or 36 months. You can also manually delete your activity logs on the same page by tapping Delete and selecting Last hour, Last day, All time, or Custom range.

Conclusion

Gemini, Google’s new AI assistant, has a lot of potential, but it’s still a work in progress. With the right extensions, it can become a powerful tool. For now, it’s worth experimenting with the available extensions and features to see what works best for you.

FAQs

Q: What is Gemini?
A: Gemini is Google’s new AI virtual assistant.

Q: What are the limitations of Gemini?
A: Gemini is still missing many features, including making phone calls and sending texts.

Q: How do I enable Gemini Apps Activity?
A: You can enable Gemini Apps Activity in the mobile app by tapping on your personal icon in the upper-right corner and selecting Gemini Apps Activity, or on the web by going to myactivity.google.com/product/gemini.

Q: What are the available extensions?
A: The available extensions include Google Workspace, Google MessagesPhoneUtilities, Google Flights, Google Hotels, Google Maps, YouTube, YouTube Music, and a few non-Google apps: Spotify, WhatsApp, and OpenStax.

Q: Can I delete my activity?
A: Yes, you can set an auto-delete for activity older than three, 18, or 36 months, or manually delete your activity logs.

PlayStation 5 Slim for $374

Phil
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0
PlayStation 5 Slim for 4

Get a PlayStation 5 Slim before Christmas at this low price

Left it a little late for a Christmas present? If you’re shopping for a gamer, then this deal with $75 off the PlayStation 5 Slim at Amazon couldn’t come at a better time (and it arrives before the big day too) now only $374.

Excellent Value

This deal is excellent value for the digital-only edition of the console, which is one of the best next-gen game consoles that money can buy. But if the option to play physical games is more enticing, then you might prefer the PlayStation 5 Slim disc edition instead (also $75 off at Amazon right now) for $424.

Deals and Prices

Below you’ll find the best deals and lowest prices on the PlayStation 5 Slim in your region and worldwide, using our clever deals widgets that update 24/7.

PlayStation 5 Slim Deals

Amazon: $374 (digital-only edition), $424 (disc edition)

What You Need to Know

Whether you’re a gamer yourself or shopping for a gift, here are a few things to keep in mind:

Why This Deal is a Good Value

This deal is excellent value for the digital-only edition of the console, which is one of the best next-gen game consoles that money can buy.

What’s Included

The PlayStation 5 Slim digital-only edition includes:

  • A digital-only console
  • A controller
  • A power cord
  • A HDMI cable
What’s Not Included

The PlayStation 5 Slim digital-only edition does not include:

  • Physical games
  • A disc drive

Conclusion

If you’re shopping for a gamer, then this deal with $75 off the PlayStation 5 Slim at Amazon is an excellent opportunity to get a great gift. With prices starting at just $374, this is an affordable option for anyone looking to get into the world of next-gen gaming.

FAQs

Q: Is this deal available worldwide?
A: Yes, this deal is available worldwide, using our clever deals widgets that update 24/7.

Q: Can I get a physical copy of the games I buy?
A: No, the digital-only edition of the console does not include a disc drive, so you will need to purchase digital copies of games or use a separate gaming platform.

Q: What is the warranty on the console?
A: The PlayStation 5 Slim comes with a one-year limited warranty.

Q: Can I return the console if I’m not satisfied?
A: Yes, Amazon offers a 30-day return policy on the PlayStation 5 Slim.

Animating AI-Generated Models with 3 Essential Tools

Phil
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0
Animating AI-Generated Models with 3 Essential Tools

Rodin: A New Frontier of 3D AI Generation

Rodin represents a quantum leap in 3D model generation, using advanced algorithms to create characters with an unprecedented level of detail and realism. This AI is not only capable of generating complex geometries, but also understands and applies textures and materials in a coherent way based on our sketches.

AccuRIG: The Perfect Complement to AI-Generated Models

AccuRIG is the best free tool to complement Rodin. Although Rodin can generate complex models, the rigging process remains a crucial stage for these models to be animated effectively. This is where AccuRIG proves its worth, automating rigging with amazing precision, yet also allowing artists to manually adjust the result so that the character skeleton is exactly what we are looking for and the characters can be animated in a coherent way.

ActorCore: Elevating the Potential of AI with 3D Animation

ActorCore is a platform that has established itself as a great resource for any 3D professional. With its extensive library of high-quality animations, ActorCore not only allows users to take advantage of Rodin-generated creations but also brings them to life with precise and natural movements for any 3D character.

iClone: The Ultimate Tool for Character Animation

To work with the rigged and animated character, there is no better program than iClone. With its tools we can edit the animation and work with the character to adjust it as much as we want to our needs. Thanks to this, we can make our characters fit into the scenarios of our project or make them interact with each other.

Synergistic Integration: Rodin, AccuRIG, and ActorCore

Rodin’s integration with ActorCore and AccuRIG can drive a new era in 3D content production. To have a more detailed look into my process, please read my full article.

Conclusion

The combination of Rodin, AccuRIG, and ActorCore offers a powerful workflow that streamlines the 3D model creation process, allowing artists to focus on creativity and experimentation. With Rodin’s advanced AI generation capabilities, AccuRIG’s precise rigging, and ActorCore’s high-quality animations, the possibilities for 3D content creation are endless.

FAQs

Q: What is Rodin and how does it work?
A: Rodin is an AI-powered 3D model generation tool that uses advanced algorithms to create characters with unprecedented detail and realism.

Q: What is AccuRIG and how does it work?
A: AccuRIG is a free tool that automates the rigging process for 3D models, allowing artists to manually adjust the result for precise control.

Q: What is ActorCore and how does it work?
A: ActorCore is a platform that brings 3D characters to life with high-quality animations, allowing artists to edit and adjust the animation to their needs.

Q: How do Rodin, AccuRIG, and ActorCore work together?
A: Rodin generates 3D models, AccuRIG rigs the models, and ActorCore animates the models, creating a powerful workflow that streamlines the 3D model creation process.

Hammerspace CEO Joins Big Data Debrief

Parker Lennox
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0
Hammerspace CEO Joins Big Data Debrief

The Limits of Distributed File Systems and the Future of Data Virtualization

The Need for a New Generation of Distributed File Systems

The AI boom is driving data storage needs into the stratosphere, but existing file systems are ill-prepared to cope with the data deluge. This has jumpstarted a market for a new generation of distributed file systems, such as the NFS-based file system developed by Hammerspace.

Hammerspace CEO David Flynn’s Expertise in Data Storage

Before co-founding Hammerspace in 2018, Flynn was the founder and CEO of Fusion-io, which was sold to SANdisk in 2014 for $1.1 billion. A recognized expert in data storage, Flynn has worked to develop a high-performance, distributed file system that can meet the needs of today’s enterprise, which demands centralized control of globally distributed data estates.

How Hammerspace Addresses the Limits of Distributed File Systems

Flynn explains that Hammerspace’s solution addresses the limits of distributed file systems by providing a high-performance, distributed file system that can meet the needs of today’s enterprise. This is achieved through a combination of innovative technologies, including:

  • Distributed File System: Hammerspace’s distributed file system is designed to provide a single, unified namespace across multiple devices and locations, allowing for seamless collaboration and data sharing.
  • NFS-based File System: Hammerspace’s file system is built on top of NFS (Network File System), which provides a standardized interface for accessing and managing files on a network.
  • Data Virtualization: Hammerspace’s file system uses data virtualization to abstract and virtualize storage resources, allowing for greater flexibility and scalability in managing large datasets.

The Future of Data Virtualization

In a recent interview with the Big Data Debrief, Flynn discussed the future of data virtualization and the role of Hammerspace in this space. He emphasized the need for a new generation of distributed file systems that can meet the demands of today’s enterprise.

Conclusion

Hammerspace’s innovative approach to distributed file systems has the potential to revolutionize the way data is stored and managed in the enterprise. With its high-performance, distributed file system and data virtualization capabilities, Hammerspace is poised to play a key role in shaping the future of data storage.

Frequently Asked Questions

Q: What is Hammerspace’s distributed file system?
A: Hammerspace’s distributed file system is a high-performance, distributed file system that provides a single, unified namespace across multiple devices and locations, allowing for seamless collaboration and data sharing.

Q: How does Hammerspace’s file system address the limits of distributed file systems?
A: Hammerspace’s file system addresses the limits of distributed file systems by providing a high-performance, distributed file system that can meet the needs of today’s enterprise, which demands centralized control of globally distributed data estates.

Q: What is data virtualization, and how does it relate to Hammerspace’s file system?
A: Data virtualization is the process of abstracting and virtualizing storage resources, allowing for greater flexibility and scalability in managing large datasets. Hammerspace’s file system uses data virtualization to provide a more efficient and scalable way of managing and accessing data.

YouTube says it will soon be able to find AI copies of celebs and creators

Avery Winslow
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0
YouTube says it will soon be able to find AI copies of celebs and creators

YouTube Partners with CAA to Help Creators Manage AI-Generated Likenesses

YouTube is partnering with the Creative Artists Agency (CAA) to help creators identify content using their AI-generated likenesses on the platform and submit removal requests. The company will test the controls with celebrities and athletes early next year before rolling it out to “top YouTube creators, creative professionals, and other leading partners representing talent.”

New Controls for Managing AI-Generated Depictions

In September, YouTube announced plans for tools that would help manage AI-generated depictions of creators and their voices. Now, the company says it can give celebrities (and soon, creators) the ability to manage AI copies of their likeness, such as their face, “at scale.”

CAA’s CAAVault

Last year, CAA introduced the CAAVault, which scans and stores the digital likenesses of its clients, including their faces, bodies, and voices. This technology will be integrated with YouTube’s new controls to help creators manage their AI-generated likenesses.

How the New Controls Work

The new controls will allow creators to identify and request removal of content featuring their AI-generated likenesses. This will give creators more control over how their digital presence is used on the platform. The controls will be tested with celebrities and athletes early next year before being rolled out to a wider audience.

Conclusion

The partnership between YouTube and CAA is an important step in giving creators more control over their digital presence. The new controls will help to ensure that AI-generated likenesses are used responsibly and with the consent of the creators. As the use of AI-generated content continues to grow, it is essential that platforms like YouTube take steps to protect the rights and dignity of the people who create and share content on their platforms.

FAQs

Q: What is the purpose of the new controls?

A: The new controls are designed to help creators identify and request removal of content featuring their AI-generated likenesses.

Q: Who will have access to the new controls?

A: Top YouTube creators, creative professionals, and other leading partners representing talent will have access to the new controls.

Q: How will the new controls work?

A: Creators will be able to identify and request removal of content featuring their AI-generated likenesses, giving them more control over their digital presence.

Q: When will the new controls be available?

A: The controls will be tested with celebrities and athletes early next year before being rolled out to a wider audience.

NVIDIA NeMo: Multilingual Information Retrieval and Efficient Data Storage for Generative AI Applications

Emerson Blake
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0
NVIDIA NeMo: Multilingual Information Retrieval and Efficient Data Storage for Generative AI Applications

In Enterprise AI, Multilingual Information Retrieval is No Longer Optional

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: A Key Component of AI

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 outputs.

Introducing NeMo Retriever

Enterprises can expand their generative AI efforts into accurate, multilingual systems using NVIDIA NeMo Retriever embedding and reranking NVIDIA NIM microservices, which are now available on the NVIDIA API catalog. These models can understand information across a wide range of languages and formats, such as documents, to deliver accurate, context-aware results at massive scale.

Benefits of NeMo Retriever

With NeMo Retriever, businesses can:

  • Extract knowledge from large and diverse datasets for additional context to deliver more accurate responses.
  • Seamlessly connect generative AI to enterprise data in most major global languages to expand user audiences.
  • Deliver actionable intelligence at greater scale with 35x improved data storage efficiency through new techniques such as long context support and dynamic embedding sizing.

NeMo Retriever: A Game-Changer for Enterprises

New NeMo Retriever microservices reduce storage volume needs by 35x, enabling enterprises to process more information at once and fit large knowledge bases on a single server. This makes AI solutions more accessible, cost-effective and easier to scale across organizations.

Leading Partners Adopt NeMo Retriever

Leading NVIDIA partners like DataStax, Cohesity, Cloudera, Nutanix, SAP, VAST Data and WEKA are already adopting these microservices to help organizations across industries securely connect custom models to diverse and large data sources. By using retrieval-augmented generation (RAG) techniques, NeMo Retriever enables AI systems to access richer, more relevant information and effectively bridge linguistic and contextual divides.

Wikidata Speeds Data Processing from 30 Days to Under Three Days

In partnership with DataStax, Wikimedia has implemented NeMo Retriever to vector-embed the content of Wikipedia, serving billions of users. Vector embedding — or “vectorizing” — is a process that transforms data into a format that AI can process and understand to extract insights and drive intelligent decision-making.

Conclusion

NeMo Retriever helps global enterprises overcome linguistic and contextual barriers and unlock the potential of their data. By deploying robust, AI solutions, businesses can achieve accurate, scalable and high-impact results.

Frequently Asked Questions

Q: What is NeMo Retriever?
A: NeMo Retriever is a new microservice that enables enterprises to extract knowledge from large and diverse datasets for additional context to deliver more accurate responses.

Q: What are the benefits of NeMo Retriever?
A: NeMo Retriever helps enterprises extract knowledge from large and diverse datasets, seamlessly connect generative AI to enterprise data in most major global languages, and deliver actionable intelligence at greater scale with improved data storage efficiency.

Q: Which partners are adopting NeMo Retriever?
A: Leading partners like DataStax, Cohesity, Cloudera, Nutanix, SAP, VAST Data and WEKA are adopting NeMo Retriever to help organizations across industries securely connect custom models to diverse and large data sources.

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