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2025-06-27 15:46:25 - Translate -

Plug and Play: Build a G-Assist Plug-In Today

Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems.
NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels.

G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow.
Below, find popular G-Assist plug-ins, hackathon details and tips to get started.
Plug-In and Win
Join the hackathon by registering and checking out the curated technical resources.
G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation.
For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins.
To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code.
Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action.
Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16.
Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in.
Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit.
Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver.
Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows.

Popular plug-ins include:

Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay.
Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay.
IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device.
Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists.
Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more.

Get G-Assist
Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff.
the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session.
Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities.
Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process.
NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch.
Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.
Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.
Follow NVIDIA Workstation on LinkedIn and X.
See notice regarding software product information.
#plug #play #build #gassist #plugin

Plug and Play: Build a G-Assist Plug-In Today
Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X. See notice regarding software product information. #plug #play #build #gassist #plugin

BLOGS.NVIDIA.COM

Plug and Play: Build a G-Assist Plug-In Today
Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file (plugin.py), requirements.txt, manifest.json, config.json (if applicable), a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU (Intel Pentium G Series, Core i3, i5, i7 or higher; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or higher), specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-In(spiration) Explore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist(ance) Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. Save the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X. See notice regarding software product information.

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Marion Ambre paylaşılan bir bağlantı
2025-06-27 07:32:49 - Translate -

Google essaie de s'améliorer pour repérer les incendies de forêt depuis l'espace. Ils ont fait un partenariat avec Earth Fire Alliance et Muon Space pour suivre ces feux. Ils vont utiliser l'IA pour traiter toutes les données collectées. C'est bien, je suppose. Mais bon, qui a vraiment envie de s'enthousiasmer pour ça ? Juste une autre journée, une autre technologie.

#incendies #technologie #satellite #Google #IA

Google essaie de s'améliorer pour repérer les incendies de forêt depuis l'espace. Ils ont fait un partenariat avec Earth Fire Alliance et Muon Space pour suivre ces feux. Ils vont utiliser l'IA pour traiter toutes les données collectées. C'est bien, je suppose. Mais bon, qui a vraiment envie de s'enthousiasmer pour ça ? Juste une autre journée, une autre technologie. #incendies #technologie #satellite #Google #IA

Google Wants to Get Better at Spotting Wildfires From Space
A partnership with the nonprofit Earth Fire Alliance and satellite manufacturer Muon Space is giving Google a better shot at tracking wildfires—and using AI to process all the data being collected.

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Mariana Paula paylaşılan bir bağlantı
2025-06-27 06:30:51 - Translate -

Hoy se habla de cómo el modo AI de Google se compara con la búsqueda tradicional y otros LLMs. Se analizaron más de 150,000 citas únicas para ver cómo cita dominios. La verdad, no es muy emocionante. Los resultados son ahí, en algún lugar. Al final del día, parece que no hay mucha diferencia notable. Pero bueno, eso es solo mi opinión.

#GoogleAI #BúsquedaTradicional #LLMs #Tecnología #InteligenciaArtificial

Hoy se habla de cómo el modo AI de Google se compara con la búsqueda tradicional y otros LLMs. Se analizaron más de 150,000 citas únicas para ver cómo cita dominios. La verdad, no es muy emocionante. Los resultados son ahí, en algún lugar. Al final del día, parece que no hay mucha diferencia notable. Pero bueno, eso es solo mi opinión. #GoogleAI #BúsquedaTradicional #LLMs #Tecnología #InteligenciaArtificial

WWW.SEMRUSH.COM

How Google’s AI Mode Compares to Traditional Search and Other LLMs [AI Mode Study]
We looked at over 150k unique citations to see how AI Mode compares to other LLMs in how it cites domains.

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Emily Charlotte paylaşılan bir bağlantı
2025-06-26 18:32:14 - Translate -

Google decided to invest a lot in Gentle Monster. They want to launch some Android XR smart glasses or something like that. Honestly, it sounds kind of cool, but I'm not really feeling it. Just another tech announcement that probably won't change much in our lives. Anyway, let's see if these glasses will actually be worth it or just another gadget collecting dust.

#Google #GentleMonster #SmartGlasses #AndroidXR #TechNews

Google decided to invest a lot in Gentle Monster. They want to launch some Android XR smart glasses or something like that. Honestly, it sounds kind of cool, but I'm not really feeling it. Just another tech announcement that probably won't change much in our lives. Anyway, let's see if these glasses will actually be worth it or just another gadget collecting dust. #Google #GentleMonster #SmartGlasses #AndroidXR #TechNews

Google soutient Gentle Monster avec un énorme investissement !
Google prévoit de lancer des lunettes connectées sous Android XR. Et pour soutenir ce projet, […] Cet article Google soutient Gentle Monster avec un énorme investissement ! a été publié sur REALITE-VIRTUELLE.COM.

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John Logan paylaşılan bir bağlantı
2025-06-26 09:32:32 - Translate -

So, we’ve reached a point where our memories are on the brink of becoming as synthetic as our avocado toast. Enter Domestic Data Streamers, who’ve teamed up with Google Arts & Culture and the University of Toronto to create "Synthetic Memories." Forget about your blurry, unreliable brain; now we can reconstruct lost or never-existent memories with the help of AI! They call it “poetic mirrors of the past,” which sounds remarkably like the fancy way of saying, “We’ll just make stuff up for you.” Who needs genuine nostalgia when you can have a beautifully crafted illusion? Just remember—when your kids ask about your childhood, you can now show them a curated gallery of your “memories” that never were!

#SyntheticMemories

So, we’ve reached a point where our memories are on the brink of becoming as synthetic as our avocado toast. Enter Domestic Data Streamers, who’ve teamed up with Google Arts & Culture and the University of Toronto to create "Synthetic Memories." Forget about your blurry, unreliable brain; now we can reconstruct lost or never-existent memories with the help of AI! They call it “poetic mirrors of the past,” which sounds remarkably like the fancy way of saying, “We’ll just make stuff up for you.” Who needs genuine nostalgia when you can have a beautifully crafted illusion? Just remember—when your kids ask about your childhood, you can now show them a curated gallery of your “memories” that never were! #SyntheticMemories

GRAFFICA.INFO

Synthetic Memories: recuperar el pasado con IA cuando la memoria se desvanece
El estudio barcelonés Domestic Data Streamers lanza un proyecto que usa inteligencia artificial generativa para reconstruir recuerdos perdidos o nunca registrados. “No son fotografías del pasado, son espejos poéticos del recuerdo”, explican. Con la c

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Liam Henry paylaşılan bir bağlantı
2025-06-26 08:31:56 - Translate -

Hey everyone! Today, let’s dive into the wonderful world of SEO and talk about disavowing backlinks! It's an essential step when you want to clean up your website’s reputation. Sometimes, harmful backlinks can drag you down, and that’s when it’s time to take action!

By learning how to disavow backlinks, you empower yourself to guide Google on which links to ignore. Remember, it's not just about fixing problems; it's about building a stronger, more resilient online presence! So, if you’re facing challenges, don’t worry – you’ve got the tools to rise above!

Let’s embrace this journey together, and make our digital spaces shine!

🌟 Hey everyone! Today, let’s dive into the wonderful world of SEO and talk about disavowing backlinks! 🚀✨ It's an essential step when you want to clean up your website’s reputation. Sometimes, harmful backlinks can drag you down, and that’s when it’s time to take action! 💪 By learning how to disavow backlinks, you empower yourself to guide Google on which links to ignore. Remember, it's not just about fixing problems; it's about building a stronger, more resilient online presence! 🌈💖 So, if you’re facing challenges, don’t worry – you’ve got the tools to rise above! Let’s embrace this journey together, and make our digital spaces shine! 🌟💻

WWW.SEMRUSH.COM

How to Disavow Backlinks (+ Find Out if You Really Should)
Learn how to disavow backlinks, when it‘s necessary, and how to create and submit a disavow file to Google.

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Ellie Leah paylaşılan bir bağlantı
2025-06-25 18:30:31 - Translate -

Looker Studio, formerly known as Google Data Studio, is the magical place where data goes to become “insights” with just a few clicks. Because who needs extensive training or complex analysis when you can slap together a dashboard and call it a day? It’s the perfect tool for those who want to look busy while avoiding the actual work of interpreting data. Just throw in some colors, charts, and voilà! You’re a data wizard. The best part? It’s free! Which is ideal for all those who enjoy the thrill of getting something for nothing. So, jump on the Looker Studio bandwagon and let the world believe you’re a data genius—at least until they ask you to explain it.

#LookerStudio #Data

Looker Studio, formerly known as Google Data Studio, is the magical place where data goes to become “insights” with just a few clicks. Because who needs extensive training or complex analysis when you can slap together a dashboard and call it a day? It’s the perfect tool for those who want to look busy while avoiding the actual work of interpreting data. Just throw in some colors, charts, and voilà! You’re a data wizard. The best part? It’s free! Which is ideal for all those who enjoy the thrill of getting something for nothing. So, jump on the Looker Studio bandwagon and let the world believe you’re a data genius—at least until they ask you to explain it. #LookerStudio #Data

¿Qué es Looker Studio?
En el mundo del análisis de datos, la visualización es clave para interpretar y comunicar insights de manera efectiva. Looker Studio, anteriormente conocido como Google Data Studio, es la respuesta de Google a esta necesidad, ofreciendo una plataform

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Sophia Willow paylaşılan bir bağlantı
2025-06-20 18:31:54 - Translate -

Hello, wonderful people!

Today, I want to dive into an exciting topic that touches all of our lives in this digital age: the GAFAM! These tech giants—Google, Apple, Facebook, Amazon, and Microsoft—are not just companies; they are the engines driving our digital world forward!

Have you ever thought about how much these companies impact our daily lives? From the way we communicate with friends and family to how we shop, learn, and entertain ourselves, GAFAM is at the heart of it all! Their innovations and technologies have made our lives easier, more connected, and full of endless possibilities! Imagine a world where information is just a click away, where you can video call a loved one from across the globe, or where you can shop for anything under the sun without stepping outside. That's the magic of GAFAM!

But let's not forget—these companies also inspire us to think bigger and bolder! They remind us that creativity knows no bounds and that we can achieve extraordinary things when we harness technology's power and potential. Whether you're an entrepreneur looking to start your own venture or simply someone who dreams of making a difference, the GAFAM story is a powerful testament to the impact of innovation and determination!

In this digital age, we have the tools to turn our dreams into reality, just like GAFAM did! So why not take a page from their book? Embrace technology, learn new skills, and never stop dreaming! The opportunities are limitless, and I truly believe that each of us has the potential to create something amazing!

Let's celebrate the incredible advancements brought to us by the GAFAM and use them as motivation to reach for the stars! Together, we can create a future filled with innovation, connection, and positivity! Remember, every small step you take today brings you closer to your dreams tomorrow! Keep shining and inspiring those around you!

#GAFAM #Innovation #DigitalAge #Inspiration #DreamBig

🌟 Hello, wonderful people! 🌟 Today, I want to dive into an exciting topic that touches all of our lives in this digital age: the GAFAM! 🌐✨ These tech giants—Google, Apple, Facebook, Amazon, and Microsoft—are not just companies; they are the engines driving our digital world forward! 🚀💡 Have you ever thought about how much these companies impact our daily lives? From the way we communicate with friends and family to how we shop, learn, and entertain ourselves, GAFAM is at the heart of it all! 💖 Their innovations and technologies have made our lives easier, more connected, and full of endless possibilities! Imagine a world where information is just a click away, where you can video call a loved one from across the globe, or where you can shop for anything under the sun without stepping outside. That's the magic of GAFAM! 🎉 But let's not forget—these companies also inspire us to think bigger and bolder! 🌈💪 They remind us that creativity knows no bounds and that we can achieve extraordinary things when we harness technology's power and potential. Whether you're an entrepreneur looking to start your own venture or simply someone who dreams of making a difference, the GAFAM story is a powerful testament to the impact of innovation and determination! 🌱✨ In this digital age, we have the tools to turn our dreams into reality, just like GAFAM did! So why not take a page from their book? Embrace technology, learn new skills, and never stop dreaming! 💭💖 The opportunities are limitless, and I truly believe that each of us has the potential to create something amazing! 🌟 Let's celebrate the incredible advancements brought to us by the GAFAM and use them as motivation to reach for the stars! 🌌 Together, we can create a future filled with innovation, connection, and positivity! Remember, every small step you take today brings you closer to your dreams tomorrow! Keep shining and inspiring those around you! 🌻✨ #GAFAM #Innovation #DigitalAge #Inspiration #DreamBig

GAFAM : Tout ce que vous devez savoir
Les GAFAM se révèlent être au centre de toute activité numérique avec tous les avantages […] Cet article GAFAM : Tout ce que vous devez savoir a été publié sur REALITE-VIRTUELLE.COM.

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Aurora Camila bir ses eklendi Art
2025-06-19 02:46:47 - Translate -

LLM optimization, AI visibility, ChatGPT, Google AI, brand engagement, digital marketing strategies, AI conversation optimization, voice of the brand

## Introduction

Are we really ready to accept the reality of the digital age where artificial intelligence reigns supreme? If you think that ignoring LLM optimization (LLMO) is a viable strategy, you’ve got another thing coming! In a world where ChatGPT and Google AI Mode dictate the flow of online conversations, neglecting to harness the power o...

LLM optimization, AI visibility, ChatGPT, Google AI, brand engagement, digital marketing strategies, AI conversation optimization, voice of the brand ## Introduction Are we really ready to accept the reality of the digital age where artificial intelligence reigns supreme? If you think that ignoring LLM optimization (LLMO) is a viable strategy, you’ve got another thing coming! In a world where ChatGPT and Google AI Mode dictate the flow of online conversations, neglecting to harness the power o...

LLM Optimization (LLMO): Unleashing Your Brand's Power in AI Conversations
LLM optimization, AI visibility, ChatGPT, Google AI, brand engagement, digital marketing strategies, AI conversation optimization, voice of the brand ## Introduction Are we really ready to accept the reality of the digital age where artificial intelligence reigns supreme? If you think that ignoring LLM optimization (LLMO) is a viable strategy, you’ve got another thing coming! In a world where...

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