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Exciting advancements in Generative AI with GPT-4o! The next evolution in AI interaction is here with GPT-4o, enabling natural human-computer engagement through text, audio, and image. Are you ready for the future of AI interactions? Share your thoughts below! #AI #TechInnovation #ArtificialIntelligence

#OpenAI never ceases to amaze and this time its with its latest release #GPT4o model. With unbelievable set of multi-modal capabilities (text, speech & vision) built onto a singular neural network, ChatGPT has now come closest to embodying human-like capabilities in speech & vision. In simple terms, it now has Eyes, Ears and a very very fluent Tongue capable of conversing and translating across 50+ languages. The days of #AgenticAI are not far now. In fact, in some ways its already here. Over the next few weeks at Genexa.AI, we will release the Enterprise Transformation use-cases which will see a deep value & operational impact of Agentic AI ecosystem. The readers will be able to appreciate & visualize the #Agent_AI_Ecosystem which will usher in a seismic shift in the way we work, live and socialize. Keep following us for more updates ! #GPT4o #AgenticAI #GenexaAI

🌟 A Revolutionary Leap in AI Technology: GPT-4.0 🌟 I am absolutely thrilled to share some groundbreaking news from the world of AI! 🤯 OpenAI has introduced a major update to its ChatGPT, named GPT-4o. Unlike previous versions, this model transcends traditional boundaries, ushering in a new era of human-machine interaction. Let me take you through the highlights of this incredible innovation! 🚀 1. Unprecedented Human-Machine Interaction 🤖❤️ GPT-4o allows us to communicate not just through text, but also via voice and visual inputs. Imagine talking to an AI that responds with the same emotional nuances as a human. This is no longer science fiction; it’s reality! The "O" in GPT-4o stands for "Omni," reflecting its all-encompassing capabilities. 2. Emotional Intelligence in AI 😲💬 One of the most striking features of GPT-4o is its ability to understand and convey emotions. During a demo, GPT-4o responded to a user's nervousness before a job interview with reassuring and personalized advice, much like a close friend would. This emotional depth makes interactions feel incredibly natural and human-like. 3. Multimodal Capabilities 🎥🗣️ GPT-4o can now see through your camera and hear your voice, providing responses that are not just accurate but also contextually rich. For instance, it can help you prepare for a job interview by assessing your appearance and suggesting improvements in real-time. This capability is a game-changer for both professional and personal applications. 4. Real-Time Translation and Interpretation 🌍🔄 Another impressive feature is its real-time translation abilities. GPT-4o can seamlessly translate conversations between different languages, ensuring smooth and effective communication. This is particularly beneficial for global businesses and multicultural interactions. 5. Speed and Efficiency ⚡💨 GPT-4o’s response time is incredibly fast, averaging 320 milliseconds. This speed is very close to human response times, making conversations with AI almost instantaneous. The previous versions had a lag of 2.8-3 seconds, but GPT-4o operates three times faster, enhancing the flow of interaction. 6. Versatile Applications 🎓📞 The potential uses for GPT-4o are vast. In education, it can act as a tutor, explaining complex concepts with clarity and patience. In customer service, it can handle detailed inquiries efficiently. For visually impaired individuals, it can describe surroundings in real-time, providing invaluable assistance. 7. The Future of AI: Companionship and Beyond 🌐🤝 GPT-4o also hints at future possibilities where AI can act as a companion, not just an assistant. Conclusion OpenAI’s GPT-4o is a monumental step forward in artificial intelligence. Its ability to understand and express emotions, coupled with its multimodal capabilities, makes it a truly revolutionary tool! 🌟🔍 #AI #OpenAI #GPT4 #Innovation #Technology #Future #ArtificialIntelligence #MachineLearning #TechNews

What is GPT in chatGPT ? Is it just a name ? Or something which changed the world ? GPT - Generative Pre-Trained Transformer The Birth of GPT: A Story of Innovation Let’s dive into the story of how this genius concept came to life. 🌟 1. The Dawn of Transformers (2017) 🚀 • In 2017, a research paper titled “Attention Is All You Need” introduced the Transformer architecture. • It revolutionized AI by using a self-attention mechanism. 💡 • Instead of reading text like a sequence, it could understand relationships between words all at once! This innovation laid the foundation for future breakthroughs. 🏗️ 2. Generative Models: A Creative Spark 💭 • Generative models aim to create something new – like writing poetry or completing sentences. ✍️ • Early forms included Markov Chains and GANs, which tried to mimic human creativity. • They were promising, but limited in their ability to handle complex text. The concept of “generating” text, though, was gaining traction! 🔥 3. The Power of Pre-training ⚙️ • Before GPT, AI models were trained from scratch for every new task. 😓 • Researchers realized pre-training on huge datasets could give AI a general understanding of language. 🌍 • Later, they would fine-tune it for specific tasks, saving time and improving accuracy. 🛠️ This idea became the backbone of GPT. 💪 4. The Birth of GPT (2018) 🎉 • OpenAI combined Generative, Pre-trained, and Transformer concepts to create GPT-1. • It read mountains of text (think Wikipedia-level volumes). 📚 • Result? It could predict the next word in a sentence with surprising accuracy. GPT-1 was just the beginning. 🌱 5. GPT-2: A Leap Forward (2019) 🌟 • With 1.5 billion parameters, GPT-2 was 10x larger than GPT-1. • It could generate coherent paragraphs and even write stories! 🖋️ • OpenAI was cautious about releasing it fully, fearing misuse. 🤔 The world realized GPT had immense potential – and risks. ⚡ 6. GPT-3: The Game-Changer (2020) 🔥 • GPT-3, with 175 billion parameters, took the AI world by storm. 🌪️ • It understood context like never before, mimicking human-like conversations. 🗣️ • Developers began building applications on top of GPT-3, including ChatGPT. GPT-3 made AI accessible, creative, and incredibly powerful. 💎 7. What Does GPT Mean? 🔍 • G: “Generative” – It creates new, meaningful text. ✨ • P: “Pre-trained” – It learns language from vast datasets. 📖 • T: “Transformer” – The architecture that makes it all possible. ⚡ Each part works together to make GPT what it is today! 🤝 🌟 The story of GPT is one of brilliance, collaboration, and continuous improvement. From its beginnings in 2017 to powering ChatGPT today, it reminds us of what humans and machines can achieve together. 💡✨

Exciting times in the world of AI! The surge in generative AI patents highlights the rapid advancements in this field. China is leading the charge with Tencent and Baidu at the forefront, while IBM, Alphabet, and Microsoft represent the top U.S. companies. Check out the latest developments and see how these innovations are shaping the future of technology! #GenerativeAI #TechTrends #Innovtion #Disruptivehiring

I have a favorite “Go To”  Generative AI tool I use every day, and it is not ChatGPT. It’s replaced any browser I've used in the past for research - Perplexity rocks! Here are the top 10 benefits of using Perplexity AI: 1️⃣ Accurate and up-to-date information: Perplexity AI retrieves and summarizes the latest info from trusted sources, ensuring it's correct. 2️⃣ Direct answers: It gives quick responses to queries, no need to sift through multiple search results. 3️⃣ Source citations: You can validate information easily as Perplexity AI cites its sources. 4️⃣ User-friendly interface: The chatbot structure allows for natural language queries, making it super easy to use. 5️⃣ Versatility: Great for content generation, research, and learning new things. 6️⃣ Multiple AI models: Provides access to different language models like GPT-4 and Claude 3, giving you more options. 7️⃣ Organizational features: The Collections feature helps you save and structure your research notes. 8️⃣ Real-time information: Knowledge base updates daily, offering current info. 9️⃣ Contextual search: Bridges the gap between traditional search engines and AI models, making searches more structured. 🔟 Ad-free environment: Perplexity prioritizes user experience, ensuring a clean interface with no ads. These benefits make Perplexity AI a powerful tool for getting info, doing research, and creating content across various domains. If you have used it too,  what part of Perplexity AI's features do you find most useful? Share below! 👇

Hello friends, This is my opinion on the overview for #GPT-4o.  GPT-4o, or "omni," stands as a groundbreaking advancement in AI technology developed by OpenAI. Here's a detailed overview: 1.Versatile Input and Output Capabilities: 📲 GPT-4o marks a departure from its predecessors by accepting a wide array of inputs, including text, audio, images, and videos. Moreover, it can generate outputs in various formats such as text, audio, and images, thereby offering unparalleled versatility in interaction modalities. 2.Remarkable Response Time: 💹 One of GPT-4o's standout features is its impressive response time. With audio inputs processed in as little as 232 milliseconds on average, it achieves speeds comparable to human conversation, ensuring seamless interactions and real-time responsiveness. 3.Unified Processing Model: 🏹 Unlike earlier versions that relied on multiple models in a pipeline, GPT-4o integrates text, vision, and audio processing within a single neural network. This streamlined approach enhances efficiency, eliminates complexity, and facilitates cohesive understanding across different modalities. 4.Performance and Improvements: ✔ GPT-4o demonstrates commendable performance, especially in text-related tasks in English and code, rivaling the capabilities of GPT-4 Turbo. Notably, it exhibits significant enhancements in non-English languages and excels in understanding visual and audio inputs, setting new benchmarks in these domains. 5.Safety Measures: ⚠ Safety is a paramount consideration in GPT-4o's design. It incorporates robust techniques such as filtering training data and refining behaviors post-training to ensure responsible and ethical usage. Extensive evaluations, including internal assessments and external red teaming with experts, reinforce its safety across diverse domains. 6.Rollout and Accessibility: 📂 GPT-4o's capabilities are gradually being integrated into various platforms. Currently, its text and image capabilities are available in ChatGPT, with plans for inclusion in Voice Mode for Plus users. Developers can access GPT-4o through the API, benefiting from enhanced speed, affordability, and higher rate limits compared to earlier versions. 7.Future Enhancements: 📊 Future updates will further expand GPT-4o's capabilities by introducing support for audio and video processing to a select group of partners. These enhancements promise to unlock new possibilities and applications, enriching the AI landscape. Summary, GPT-4o represents a significant milestone in AI technology, offering unparalleled versatility, efficiency, and safety across multiple modalities. Its advancements pave the way for transformative applications across various industries while reinforcing ethical considerations and responsible usage. #ArunArun Prakash M #YadhuvarshiniYadhuvarshini R #CampusExpert #CampusAmbassador #Guvi #GPT-4o #AI #sharewhatyouknow

The next generative AI trend (it’s not what you think it is).   Large language models (LLMs) like ChatGPT and Claude have dominated the spotlight with their impressive capabilities. However, these complex models come with high costs and require massive amounts of training data to manage a wide variety of user requests.   That's why many experts believe the future lies in more specialized Small Language Models (SLMs).   SLMs have fewer parameters and require less computational power to train and run. They are designed for specific tasks or industries, making them more efficient and faster to deploy.   Small Language Models offer many advantages, including: Cost Efficiency: SLMs are significantly cheaper to operate, making AI development more accessible. Speed and Agility: Smaller models are faster to train and deploy, allowing quicker iterations and improvements. Specialization: SLMs can be fine-tuned for specific industries or use cases, ensuring higher accuracy and relevance.   But to harness the full power of these smaller models, it’s essential to have access to high-quality training data. That’s where we come in.   At Nurdle, we provide top-tier synthetic data solutions to streamline your AI development.   With our synthetic data, you can train smaller models at a fraction of the traditional cost and much faster. Here’s how: High-Quality Synthetic Data: We generate realistic datasets tailored to your needs, ensuring 92% of the performance of real data but at a fraction of the cost. Rapid Data Generation: Our synthetic data enables quick prototyping and iteration, speeding up your AI development process. Privacy Compliance: Nurdle’s data is privacy-safe, helping you stay compliant with regulations while maintaining data integrity.   Nurdle helps you develop your AI projects faster and more efficiently.   Because AI trends may come and go, high-quality training data is timeless. P.S. Join our free Pilot Program and get 10k rows of prepared synthetic data for your AI project. Visit our website or DM me for more info!

Top Companies by Generative AI Patents The release of AI assistants like ChatGPT has created significant public enthusiasm for generative AI (GenAI). Technological advances in GenAI are also reflected in the sharp increase in patent activity. In fact, the number of patent families (group of patents that are all related to the same invention or technology) in GenAI has grown from just 733 in 2014 to more than 14,000 in 2023. This graphic shows the top companies by patent ownership in GenAI models as of April 2024. The data is from the World Intellectual Property Organization (WIPO), the United Nations agency for innovation and creation. China Dominates the Patent Race in Generative AI Among the GenAI programs or models with most patents are: Generative Adversarial Networks (GANs): GANs use a generator to create data and a discriminator to evaluate it, refining the generator’s output. They are essential in image generation, style transfer, and data augmentation. Variational Autoencoders (VAEs): VAEs encode data into a latent space and decode it back, allowing new data generation by sampling the latent space. They are used in image generation, anomaly detection, and semi-supervised learning. Decoder-based Large Language Models (LLMs): LLMs, like GPT, generate text by leveraging the transformer architecture and vast pre-training data. They excel in text completion, translation, summarization, and conversational AI. China is dominating the patent race for generative AI, with Tencent and Baidu topping the list. Baidu recently unveiled its latest LLM-based AI chatbot, ERNIE 4.0. Meanwhile, Tencent plans to add GenAI capabilities to its products, such as WeChat, which provides over one billion users with instant messaging, social media, and mobile payment features. IBM, Alphabet (Google), and Microsoft are the top U.S. companies on the ranking. IBM has developed a GenAI platform, watsonx, which enables companies to deploy and customize LLMs with a focus on data security and compliance. Alphabet’s AI division recently released its latest LLM model, Gemini, which is gradually being integrated into its products and services. Finally, Microsoft is an investor in OpenAI, the developer of ChatGPT.

The Evolution of Chatbots: From Simple Scripts to Smart AI Chatbots have significantly evolved from their early days. Initially, they were basic, rule-based systems with limited functionality. These early chatbots could only provide scripted responses, often frustrating users due to their lack of understanding and inability to handle complex queries. With advancements in artificial intelligence and natural language processing, chatbots became smarter. They started learning from data, improving their responses over time and handling a broader range of queries. This marked a shift towards more interactive and useful chatbots. The introduction of large language models (LLMs) like OpenAI's GPT-3 revolutionized chatbot technology. These models can understand and generate human-like text, making interactions much more natural and engaging. Today's AI-powered chatbots are multifunctional, assisting in customer service, e-commerce, and more, providing personalized recommendations and performing complex tasks. Looking ahead, chatbots are set to become even more sophisticated, anticipating user needs and integrating more deeply into our daily lives. The journey from simple scripts to advanced AI showcases the remarkable progress in chatbot technology. Full Medium Post - https://lnkd.in/dwNfDMTU