Maria Saleem的动态

Our #software engineers continue to experiment with #artificialintelligence. In today's blog post, Engineering Director Daniel Andrews shares about our latest #AI powered #product – and the role #RAG plays in it. https://lnkd.in/eXAKvbv7

How Developers "Partner" with AI tools will be a key area of learning for the next year or two. This "Flow Engineering" approach, as described in the post, is a great reminder of how to use tools like GitHub Copilot to: - Thoroughly analyze the problem and available options - Quickly create a testable rough draft - Elaborate on functionality and test coverage in an iterative, AI-supported loop. #Developers #AI #GitHubCopilot #FlowEngineering #TechTrends

Last chance to register for the workshops of our AI series ???? This week, the Learn, Build, Pitch series will teach you how to build a chatbot, data analytics fundamentals, leverage AI to create ads on Meta and last but not least run Neo4j with Docker. Join our online "Build your first chatbot with the AI" workshop, which starts today at 6pm! Secure your spot: https://lnkd.in/ePMM-ZYi #Learn #Coding #AI

Unlock the Power of AI with LangChain! ?? Are you ready to transform your workflow with AI? Dive into the world of LangChain with our comprehensive guide! This book is not just a technical manual—it's your gateway to harnessing the full potential of Generative AI and AI Agents. ?? **What You'll Learn:** - **Foundations:** Set up your development environment and understand LangChain’s core components. - **Advanced Features:** Explore AI models, memory management, and vector databases. - **Practical Implementations:** Build Max, your own Generative AI Agent with Retrieval Augmented Generation (RAG) capabilities. - **Real-World Applications:** Automate workflows, manage complex tasks, and create intelligent agents. ?? **Why LangChain?** LangChain integrates seamlessly with top AI models like OpenAI's GPT and Anthropic's Claude, making it a versatile tool for developers. Whether you’re a seasoned programmer or a newcomer, this book provides step-by-step guides, practical examples, and advanced features to elevate your AI projects. ?? **Get Your Copy Now:** [LangChain Book on Amazon](https://lnkd.in/gCTV6hB2) Embark on a journey to revolutionize your productivity and creativity with AI. Don’t miss out on the future of technology—start building your own AI-powered applications today! ?? #AI #LangChain #GenerativeAI #TechInnovation #ArtificialIntelligence #MachineLearning #Python #Developers #Productivity

Humbled to share that I will be covering veScale, ByteDance’s opensource PyTorch-native LLM training framework, on Nov 7. Can’t wait to share the year-long effort made possible by the great leadership of Yanghua Peng Haibin Lin Li-Wen Chang, the amazing founder Youjie Li and veScale team (e.g. Jiacheng Yang, Cheng Wan, to name a few) Let’s rock the LLM infra!

Seven years back, it was all about writing tons of TensorFlow code and endless debugging sessions. Fast forward to 2024, developers can utilize the foundation power of models to achieve in a few lines of code what used to take us days to build from scratch. The speed of these advancements and improvements is truly mind-blowing. Looking forward to see what the next 7 years will bring us. ????? #AI #vertexAI #tensorflow #deeplearning #machinelearning

See you at our webinar , another powerful open source AI framework software that enables you to parallelize your workloads with minimal code changes . Come and learn with ByteDanceOSS and Ziang Song

???Open source LLM tools?are rapidly evolving. What are some of the major applications of these tools? ?? I have just run an analysis which indicates that????? ???????????????????????is the top category ??. AI engineering encompasses tools and frameworks essential for building and deploying AI models. This category’s prominence underscores the community’s emphasis on creating robust, scalable AI solutions ??. Other categories include: applications, model development, model repositories, infrastructure, and tutorials. A deep dive into subcategories indicates that?model & training?dominates - this area focuses on the core processes of developing and refining AI models, reflecting the community’s commitment to advancing model capabilities ??. This is followed by?AIE framework?and?coding, showcasing the practical applications of AI in everyday tasks ???. You will find my visualisation of the data below. Source of data: https://lnkd.in/d5-p7mVG What are your thoughts? #OpenSource #LLMTools #AIEngineering #ModelTraining #AIEFramework #Coding #AI #Innovation

From AGI to MLOps: Bridging the Gap in AI ?? Hey World! ?? Ever wondered how we can take the incredible potential of Artificial General Intelligence (AGI) and turn it into something we use every day? Well, it’s not as far-fetched as it sounds! This is a little summary for the busy bees and morning scrollers: ?? AGI Unleashed: Think of AGI as the ultimate AI—capable of performing any intellectual task a human can. The possibilities are endless, from solving global challenges to simply making our lives easier. ?? Meet MLOps: MLOps stands for Machine Learning Operations, and it’s the magic sauce that brings AI from the lab to the real world. By focusing on collaboration, automation, and continuous improvement, MLOps ensures our AI models aren’t just smart, but practical and reliable too. ?? Making the Connection: Integrating AGI with MLOps is like creating a seamless assembly line for AI development. We’re talking real-time data handling, adaptive learning, and even using blockchain for data integrity! ?? Best Practices: Want to know the secret sauce? Efficient data management, collaborative model development, and continuous monitoring are key. Plus, innovations like synthetic data and federated learning are pushing the boundaries even further. ?? Future Gazing: The future is bright with neuromorphic computing and quantum computing on the horizon. These technologies promise to supercharge our AI systems, making them faster and more efficient than ever before. ?? Wrapping Up: The journey from AGI to practical AI applications is challenging, but with MLOps, it’s not just a dream—it’s becoming reality. Let’s embrace these innovations and create a future where AI truly enhances our lives. Curious to learn more? Read the full blog post below. ?? ??? Tags #AI #MLOps #AGI #MachineLearning #TechInnovation #DataScience #Automation