SMARRTIF AI’s Post

Absolutely thrilled to share my excitement about the advancements in ChatGPT's latest version, GPT-4o! As a machine learning student, witnessing the leaps in AI technology is incredibly inspiring. GPT-4o brings enhanced natural language understanding, more accurate responses, and a significant boost in contextual awareness, making AI interactions even more seamless and human-like. The future of AI looks brighter than ever, and I can't wait to see how these innovations will transform various industries and open up new possibilities in our field. I SPENT MOST OF THE TIME OF TODAY ON EXPLORING THE NEW FEATURES !!!!!! Fun Fact: Even tomorrow is my END TERM 😅 Here's to the future of AI! 🚀 #MachineLearning #AI #GPT4o #Innovation #TechFuture #examseason

The future of AI lies in the scale of its intelligence. Are you prepared for the revolution? One sentence summary 👇👇👇 🌱 THE BASICS → Large Language Models (LLMs) refer to AI systems with massive architectures and vast training data. → Popular examples include GPT-3, Gemini, and Claude, each boasting thousands of billion parameters. → Parameters are the internal variables tuned during training to generate accurate, meaningful text. 🤓 THE ADVANCED → LLMs capture complex patterns and relationships within language due to their sheer size. → These models predict the next word in a sequence based on extensive training on diverse datasets. → Their large-scale nature allows them to understand and generate human-like text far more effectively than smaller models. 🥷 THE SURPRISING → Traditional language models couldn't capture language intricacies effectively due to limited scale. → The rise of massive computing power enables the creation of LLMs with billions of parameters. → LLMs like ChatGPT leverage these vast parameters to make sophisticated sense of language, leading to more nuanced and accurate outputs. 👇 ACT NOW! 👇 Start exploring the potential of Large Language Models today. Whether you're in tech, business, or education, understanding and leveraging these AI advancements can propel you to the forefront of innovation. Don't miss out on this transformative opportunity. #AI #MachineLearning #LLM #GPT3 #Innovation #TechRevolution #ArtificialIntelligence #FutureTech And don’t forget to like this post ❤️ if you found it useful. I do appreciate it! 🥐

#Blog: AI PDF Data Extraction Discover how rapid advancements in Large Language Models, like OpenAI's GPT, are transforming #AI-powered systems. Learn about the challenges and solutions in extracting semi-structured data from #PDFs, and how to streamline this process. This blog offers valuable insights into enhancing data accuracy and efficiency for innovative AI applications. https://lnkd.in/e2tsNhS4 #21cfrpart11 #validation #qualified #compliance #clinicaltrials #clinicaldata #ai

One Hot Encoding: The Unsung Hero of Generative AI 🚀 Ever wondered how machines understand categories like "red," "blue," or "green"? Enter One Hot Encoding, a crucial technique powering the AI revolution! 🧠💻 What is One Hot Encoding? It's a method that transforms categorical data into a format that machine learning algorithms can easily digest. Imagine turning colors into binary: Red: [1, 0, 0] Blue: [0, 1, 0] Green: [0, 0, 1] Why is it essential for Generative AI? Input Processing: helps Large Language Models understand text inputs Output Generation: enables models to produce coherent and contextually relevant text Multimodal Learning: bridges the gap between different data types (text, images, audio) From Basic to Advanced: Basic: Simple category encoding Intermediate: Handling high-cardinality features Advanced: Dynamic encoding in sequential models 🔥 Hot Take: One Hot Encoding is to Generative AI what the alphabet is to human language - foundational and irreplaceable! 👉 What's your experience with One Hot Encoding in AI projects? Share your thoughts below! https://lnkd.in/gzE4dekg #GenerativeAI #MachineLearning #DataScience #AI #OneHotEncodingPrince Katiyar

#Blog: AI PDF Data Extraction Discover how rapid advancements in Large Language Models, like OpenAI's GPT, are transforming #AI-powered systems. Learn about the challenges and solutions in extracting semi-structured data from #PDFs, and how to streamline this process. This blog offers valuable insights into enhancing data accuracy and efficiency for innovative AI applications. https://lnkd.in/e2tsNhS4 #21cfrpart11 #validation #qualified #compliance #clinicaltrials #clinicaldata #ai

Discover AI with #DiunaAcademy Exploring AI – Beyond Buzzwords 🚀 Understand the Basics and Beyond! As generative AI continues to transform our interactions with technology, many of us have become familiar with the basics—throwing around terms like "machine learning" in casual conversations. But as this technology evolves, so does its lexicon. 🔍 Deep Dive into AI Jargon: 💠 Language Models Explained: Understand the difference between large and small language models and why size matters in AI. 💠Decoding GPT: Ever wondered what "GPT" stands for in ChatGPT? We break it down for you. 💠RAG Demystified: What does Retrieval-Augmented Generation (RAG) mean, and how does it help in refining AI outputs? Stay ahead of the curve by deepening your understanding of these advanced concepts that are shaping the future of AI. Whether you're a developer keen on the technical details or a business owner interested in leveraging AI, there's something here for everyone. 👉 Stay Tuned: Join us as we explore more about how these technologies are not just buzzwords but pivotal elements of modern AI applications. Dive deeper into how these terms apply in real-world scenarios and their impact on the business and tech landscapes. #MachineLearning #GenerativeAI #TechTalk #BusinessInnovation #AI #AIschool #AIeducation #ProfessionalNetworking #ArtificialIntelligence #GenAI #AIDevelopment #KnowledgeSharing #TechCommunity #SoftwareDevelopment #Innovation #CodingSkills #MeetAndConnect #DiunaTechnologies

🤔 The Scale of AI Evolution Large Language Models (LLMs) exemplify the breathtaking pace of AI advancement. We have witnessed an incredible journey starting from models with millions of parameters towards some reaching trillions nowadays. 📈   💡 But here's what's fascinating: each leap in scale demands an enormous increase in computational power. This exponential growth is not just about bigger numbers - it represents the massive infrastructure and resources needed to push the boundaries of AI capabilities. 🏭   What is next for AI scaling? And more importantly, how will we balance this computational hunger with practical applications and sustainability?   Thoughts? Let us know below ⬇️ For more information on this have a look at https://aiworld.eu/ #ArtificialIntelligence #MachineLearning #TechTrends #AI #Innovation #DataScience

Did you know? 💡 ➡️ The Dartmouth conference in 1956, led by McCarthy, Minsky, Rochester, and Shannon, is often credited as the starting point for AI research. It marked a shift towards serious exploration of how machines could mimic human intelligence. 66 years later, OpenAI, a company founded in late 2015, introduced ChatGPT in November 2022, marking a new era for AI. 🚀 ➡️ Commonly referred to as "AI," Large Language Models (LLMs) are sophisticated systems designed to understand and generate human-like text on a massive scale. Trained on extensive internet data, like OpenAI’s GPT series, they master language nuances, grammar, context, and cultural references. 💻   🔍 Curious about the LLMs used by our development team at Outsourcify? Read our latest blog post now: https://lnkd.in/dRjDdeeC #Outsourcify #llms #largelanguagemodels #artificialintelligence #webagency #development #innovation #technology #Bangkok #Thailand 

The release of GPT-4o marks another significant milestone in the advancement of artificial intelligence. Integrating AI into our business processes is no longer optional; it is essential. AI technologies like GPT-4o enhance operational efficiency, foster innovation, and provide unprecedented insights. To stay competitive and drive future growth, we must embrace and leverage these advancements. https://lnkd.in/dHsCxQUw. #AI #Innovation #GPT4o #FutureOfWork #TechTransformation

Interesting take, synthetic data from LLMs does comes handy to bypassing data scarcity and privacy issues. But it makes me wonder: can we really draw meaningful conclusions from synthetic data, considering it’s influenced by the model that created it? Since synthetic data essentially mirrors biases and limitations of the related model, aren’t it reinforcing existing patterns? To leverage synthetic data, we’d need to validate it against real-world data constantly. For sure it is a "starter" to uncover what has been captured on previous training, it makes sense, but could it actually lead to improved AI , how much does it need form real-world grounding? Curious to hear thoughts on how others approach this balance between synthetic and real data in AI training!