🚀 Introducing "Gen AI Level Up" – a podcast series designed to take you on an incredible journey through the world of Generative AI! 🌟 Whether you're just starting or looking to dive deep, this series covers everything from Level 1 to 10 – from foundational concepts like neural networks to advanced topics like multimodal models and ethical AI. Each level is packed with expert insights, actionable takeaways, and engaging discussions that make learning AI accessible and inspiring. Here's what you can look forward to: ✅ Clear, structured progression through key Generative AI topics. ✅ Real-world applications to spark your creativity. ✅ A supportive community to learn and grow with. 🔊 Stay tuned as we launch this transformative learning adventure – one podcast at a time. Let’s level up together! 💡✨ 🎧 Listen to the latest episode here: YouTube: https://www.youtube.com/@genai-level-up Podcast: https://pod.link/1782035937 #GenAI #LevelUp #GenerativeAI #AIJourney #LearnAI #LevelUp #Learning #easy
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🚨 Don’t miss this today! Join experts from Confluent and Elastic as they dive into: ✅ Vector embedding & search for RAG ✅ Real-time inference pipeline workflows ✅ Preventing LLM hallucinations With Apache Flink, Elasticsearch, OpenAI, & LangChain 🚀 📅 Sign up for the virtual talk: https://lnkd.in/gKs88BQE
Seeing AI tools like Jules tackle the nitty-gritty of code optimization and bug fixing really highlights the potential for developers to focus on higher-level problem-solving. It's not just about automating tasks, but about augmenting our abilities and pushing the boundaries of what we can create. What are your thoughts on the future of AI-assisted coding?
Jules is an experimental AI-powered code agent designed to help developers get things done. 🛠️ Using Gemini 2.0, it seamlessly integrates with GitHub and allows you to offload bug fixes and other time-consuming tasks - so you can focus on more critical issues. ⌛ We’re making Jules available for trusted testers. Find out more → https://goo.gle/3BzMvTr
🚀 Learning with BERT and GPT-3: Bridging the Human-AI Gap - Level 7 🚀 In our latest episode of the Gen AI Level UP podcast, we dive deep into the fascinating world of natural language processing, exploring how models like BERT and GPT-3 are reshaping our understanding of AI learning. Here are some key insights from our discussion: - Learning Efficiency: BERT's innovative masking strategies reveal how AI can adapt and learn from fewer examples, much like humans do. - Fewer Examples, Greater Impact: GPT-3's impressive few-shot learning capability allows it to perform tasks with minimal data, democratizing AI access. - Ethical Considerations: As we push the boundaries of AI, we must remain vigilant about data biases and the ethical implications of our advancements. - Transparency Matters: The GPT-3 researchers emphasize the importance of transparency in AI research, acknowledging potential limitations and biases. Curious to learn more? 🎧 Listen to the full episode here: - YouTube: https://lnkd.in/gU6spU2M - Spotify: https://lnkd.in/gfJEptPj - Apple Podcast: https://lnkd.in/gnhz59UP Let's continue to explore the future of AI together! 💡 #genai #levelup #level7 #learn #generativeai #ai #aipapers #podcast #deeplearning #machinelearning #BERT #GPT3
📰 Generative AI & LLM News Update 🚀 AI Model Innovations: Google DeepMind's Genie 2 is making waves by turning static images or text into interactive 3D worlds. This could be a game-changer for gaming and beyond, illustrating new possibilities in AI-generated content. https://lnkd.in/g8KDzKWv New Research Tools: The AI research scene is buzzing with tools like Distilabel for fine-tuning LLMs with synthetic data. We've also seen a compilation of top AI/ML research papers for the week, showcasing breakthroughs in model efficiency and application. https://lnkd.in/g5YNwtwy Market Expansion: The generative AI market is projected to grow from $10.6 billion to $208.8 billion by 2030. This growth is fueled by innovative applications across industries, from remixing content to coding assistance. Corporate AI Developments: Microsoft and Amazon are pushing the envelope with new AI assistants and platforms, highlighting the corporate sector's commitment to AI integration. https://lnkd.in/guhpFFSu
🧐 Want to learn more about the Attention is All You Need paper and Transformers? Online Tutorials: - "The Illustrated Transformer" by Jay Alammar: An intuitive and visual guide to understanding the Transformer model and its components. (https://lnkd.in/eJyHcAS) - "How Transformers Work: A Deep Dive into the Transformer Architecture" on DataCamp: A detailed tutorial explaining the inner workings of Transformers. (https://lnkd.in/gdC2igVW) New video with subtitles in YouTube. Listen the full Episode there! https://lnkd.in/gbSBJpnS #GenAI #LevelUP #Level6 #Learn #AI #AI #GENAI #AiPapers #podcast #MachineLearning #Transformers
The progress in generative AI is absolutely mind-blowing! Seeing models like Veo 2 create such high-fidelity videos, understanding complex prompts, and even film terminology, really highlights how far we've come. It's a testament to the power of the underlying architectures, from diffusion models to transformers. For anyone looking to understand these advancements, diving into the foundational concepts is key. Understanding how these models are trained, the role of attention mechanisms, and the nuances of different architectures is crucial. It's an exciting time to be learning about AI!
Today, we’re announcing Veo 2: our state-of-the-art AI video generation model which produces realistic, high-quality clips from scratch. 🎥. ✨ It’s able to: ▪️ Create videos at resolutions up to 4k ▪️ Understand camera controls in prompts, such as wide shot, POV and drone shots ▪️ Better recreate real-world physics and realistic human expression Veo 2 can also understand film terminology including: genres, lens types, timelapse and more, meaning users can be more granular with the tool when prompting. In head-to-head comparisons of outputs by human raters, it was preferred over other top video generation models. Veo 2 is now available on VideoFX and we’ll be expanding access to this tool from next year. → https://goo.gle/veo-2
This is a fascinating step forward, OpenAI! The integration of search directly into ChatGPT, especially with voice, feels like a natural evolution. It really highlights how these models are becoming more than just text generators; they're evolving into powerful, multimodal tools. What are your thoughts on how this will change the learning curve for new users?
🌐ChatGPT search🌐 is starting to roll out to all Free users today. Search the web in a faster, better way—available globally on chatgpt.com and our mobile and desktop apps for all logged-in users. Search with Advanced Voice (rolling out over the next week), use ChatGPT as your default search engine in your browser, or discover and chat about local restaurants and businesses with our new maps feature.
It's incredible to see the rapid progress in text-to-image models like Imagen 3 from Google DeepMind! The ability to generate diverse art styles and understand complex prompts is a testament to how far we've come. For anyone looking to understand the underlying tech, diving into the concepts of diffusion models, transformers, and GANs is key. It's a fascinating journey to see how these models are trained and how they learn to create. What are some of the most surprising or challenging aspects you've encountered in your Gen AI learning journey?
We’re releasing an improved version of Imagen 3: our text-to-image generation model. Here’s what’s new. ↓ 🖼️ It’s now better at: 🎨 Producing diverse art styles, realism, fantasy, portraiture and more, 🎨 Understanding a wider range of prompts, 🎨 Generating brighter, more compositionally balanced images . Starting today, this model will roll out in ImageFX in Google Labs, to more than 100 countries. Find out more → https://lnkd.in/exXbxnew
Learn more about the Transformer model that is used in the "Attention is All You Need" paper. 🎧 Listen to the full episode: - YouTube: https://lnkd.in/g7aKsCQW - Spotify: https://lnkd.in/gE9zyK8h - Apple Podcast: https://lnkd.in/g6r2k2Aq #GenAI #LevelUP #Level6 #Learn #AI #AI #GENAI #AiPapers #podcast #MachineLearning #Transformers
📸 As the instant camera once made the invisible moment tangible, so does ‘Attention Is All You Need’ reveal a daring new lens for intelligence, capturing the infinite nuance of thought in a single transformative focus. 🎯 🎧 Listen to the full episode: - YouTube: https://lnkd.in/gbSBJpnS - Spotify: https://lnkd.in/gE9zyK8h - Apple Podcast: https://lnkd.in/g6r2k2Aq #GenAI #LevelUP #Level6 #Learn #AI #AI #GENAI #AiPapers #podcast #MachineLearning #Transformers