DataScientists4hire’s Post

🚀 Exciting News! MIT researchers have developed GenSQL, a groundbreaking generative AI tool that revolutionizes database searches! 🌟 GenSQL is an innovative extension of SQL, merging probabilistic programming with traditional database queries. This powerful tool enables users to analyze data, predict future trends, and fill in missing information seamlessly. Designed for both typical users and experts, GenSQL simplifies complex data queries, providing nuanced insights into products and services without requiring prior expertise in probabilistic programming. Imagine querying your database and getting precise, data-driven answers faster and more accurately than ever before! GenSQL empowers businesses to manage and analyze diverse data sources efficiently, making data-driven decisions a breeze. Discover the future of database management with GenSQL! 🌐📊✨ #MIT #GenerativeAI #DatabaseManagement #Innovation #TechNews #AI #DataScience https://lnkd.in/ezT7NwrW Ben Wodecki AI Business

Looking through my old emails, I found this article I wrote a while ago on KDnuggets explaining some of the concepts I describe in my book Data Storytelling with Generative AI by Manning Publications Co. In case you missed it and want to read it, here is the link: https://lnkd.in/dvZX5fsx #DataStorytelling #GenAI #GenerativeAI #DataVisualization #DataScience #Data

I get asked very often about challenges in forecasting through #artificialintelligence Next-generation forecasting relies on AI capabilities, such as ML forecasting algorithms, to streamline and optimize demand forecasting processes. Planners can take vast amounts of structured and unstructured data and let AI/ML algorithms connect the data nodes and edges to discover patterns and relationships in ways that a traditional forecasting system could never do. While AI/ML delivers accuracy, efficiency, and agility touching every aspect of a forecast cycle from driver data selection to the optimal blend of the consensus forecast; AI/ML activities and automation don’t come without challenges: (1) Quality of data- Data must be relevant to generate accurate forecasts, and data sources must be diversified and updated. (2) Python and R Skills- AI/ML methods are increasingly created and managed in open-source programming languages like R and Python. There are libraries of algorithms available, or they can be scripted from scratch in-house or using system integrators. Having resources who can use these languages is likely to be key to efficient implementations and ongoing solution optimization. (3) Overfitting- Overfitting is a common problem with planning solutions that focus more on the source data than on the predictive results. Put simply, overfitting means that the statistical forecast resembles the past data too closely. The future will not be exactly like the past but approximately like the past. Consider moving away from ‘Best Fit’ forecasting to blended forecasting where the results of multiple forecasts are merged to create a composite prediction. And do not underestimate the human-AI Collaboration! As I always say, there is nothing artificial about Intelligence 😊 #workforcemanagement #workforceoptimization #workforceengagement #forecasting

Unlock the Power of Your Company's Data with AI Chatbots! 🤖💬 No matter the size of your data, our chatbot delivers instant answers! 🛠️ Build Your Own Chatbot: Prepare Data: Organize your knowledge base into manageable chunks. Embedding: Convert each chunk into numerical representations. Storage: Save embeddings alongside their text in a database. Querying: Embed user questions and search for similar embeddings. Retrieval: Retrieve relevant text chunks linked to similar embeddings. Contextualize: Pass question and retrieved text to a language model. Answer Generation: Instruct the model to generate answers based on context. User Interface: Develop a user-friendly web interface for seamless interaction. This architecture ensures accurate answers from your knowledge base, enhancing user experience! Follow for #DataScience, #AI, #ML, #Python insights, and revolutionize your business with AI! Don’t miss out! Like, share, and comment! 👍

🔹 LIDA library automates data visualization with large language and image generation models, simplifying the creation process. 🔹 The tool includes modules for summarizing data, exploring goals, generating visualizations, and creating infographics. 🔹 LIDA enhances efficiency by reducing errors and development time, integrating easily with tools like OpenAI and Hugging Face. Source: [https://lnkd.in/dmNc_BUR] —————— P.S.: LIDA exemplifies how AI can streamline data visualization, making complex tasks more accessible and efficient. It's exciting to see how tools like this can transform data analysis and business intelligence by leveraging advanced AI capabilities. #TechNews #Productivity #OpenAI #Courses #Learning #Charts #Insights #Analysis #Data #Coding #Enhancement #Tips #DataSecurity #WebDesign #Development #Computer #Programming #Developer #WebDevelopment #Programmer #Robotics #ComputerScience #ArtificialIntelligence #AI #MachineLearning #DataScience #BigData #NeuralNetworks #SoftwareDevelopment #Automation #DataVisualization #Python #DeepLearning #Analytics #DataAnalysis #MachineLearningAlgorithms #AICommunity #MachineLearningEngineer #MachineLearningTraining #AIInnovation #CyberSecurity #NLP #LLM #TextProcessing #NaturalLanguageProcessing #LanguageModel #GPT #Bard #TextAnalytics #SpeechRecognition #Chatbots #PythonCoding #CodingLife #ProgrammingLife #SoftwareEngineer #Code #DataAnalytics #DataMining #Statistics #DigitalTransformation #DataScientist #ComputationalScience #QuantitativeAnalysis #BusinessGrowth #Entrepreneurship #Startup #Innovation #DigitalMarketing #SocialMedia #Marketing #Branding #Economics #Fintech #Security #CloudComputing #Blockchain #IoT #VR #AR #AIForGood #SustainableTech #EdTech #HealthTech

🎙️ "Hello LinkedIn community! Today, I want to share with you an exciting topic that has the potential to revolutionize the way we approach data visualization: Generative AI. 🌟 Data visualization plays a crucial role in helping us understand complex information and make informed decisions. However, creating visually appealing and meaningful charts can be a challenging task. That's where Generative AI comes into play, offering a helping hand to improve our data visualization game. 💡 In a recent article I came across on KDnuggets, the author explores how Generative AI can enhance our data visualization charts. This cutting-edge technology leverages machine learning algorithms to generate new and innovative chart designs, making our visualizations more engaging and impactful. 📊 One of the key advantages of Generative AI is its ability to automate the chart creation process. By analyzing vast amounts of data, it can identify patterns and generate charts that effectively communicate the underlying insights. This not only saves time but also allows us to explore different chart styles and experiment with various visual representations. 📈 But it doesn't stop there! Generative AI can also assist in improving the accessibility of data visualizations. By generating alternative chart designs, it caters to different user preferences and ensures that everyone can understand and interpret the data effectively. This inclusivity is crucial in today's diverse and data-driven world. 🌍 Imagine the possibilities! With Generative AI, we can unlock new ways of presenting data, making it more engaging and captivating for our audience. Whether you're a data scientist, a business analyst, or simply someone who wants to communicate data effectively, this technology has the potential to transform the way we visualize information. 💥 I encourage you all to dive deeper into this fascinating topic and explore the article on KDnuggets. Let's start a conversation! What are your thoughts on Generative AI and its impact on data visualization? Have you already experimented with this technology? Share your experiences and let's learn from each other. 🤝 #DataVisualization #GenerativeAI #Innovation #TechTrends #DataDrivenDecisions"

𝗗𝗕𝗥𝗫: 𝗔 𝗡𝗲𝘄 𝗦𝘁𝗮𝘁𝗲-𝗼𝗳-𝘁𝗵𝗲-𝗔𝗿𝘁 𝗢𝗽𝗲𝗻 𝗟𝗟𝗠 𝗗𝗲𝗺𝗼: https://lnkd.in/dyRhDhUF DBRX, a cutting-edge open large language model (LLM) developed by Databricks, introduces significant advancements in the field while posing notable challenges and opportunities for its users. Here's a brief overview: 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: Building DBRX required overcoming scientific and performance challenges, particularly in training mixture-of-experts (MoE) models efficiently. The process involved extensive experimentation and development of a robust training pipeline to ensure repeatability and efficiency. 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀: Databricks recommends leveraging their suite of tools for working with DBRX, including Apache Spark™ for data processing, MLflow for experiment tracking, and MegaBlocks for model training. Users are encouraged to explore DBRX via Databricks Mosaic AI Foundation Model APIs, offering easy access and provisioned throughput options for production applications. 𝗡𝗲𝘄 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗮𝗻𝗱 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀: DBRX boasts state-of-the-art quality, surpassing existing open models on various benchmarks, including language understanding, programming, and mathematics. Significant improvements in training and inference performance, with up to 2x faster inference speed compared to previous models. 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻: DBRX represents a pivotal advancement in Databricks' GenAI initiative, offering enterprises unprecedented control over their data and AI capabilities. While the journey with DBRX has just begun, the possibilities for innovation and application are vast, promising exciting developments in the field of AI. #Databricks #DBRX #LLM #Mosaic #GenerativeAI #AI #MachineLearning #DeepLearning #DataScience #NaturalLanguageProcessing #Technology #Innovation

🌐 The world of AI engineering is constantly evolving, and having the right tools is crucial. This article provides a practical guide to the must-have tools for every AI engineer. If you're passionate about coding and problem-solving, these tools will elevate your work and drive innovation. #AIEngineering #Innovation #TechTools

🌐 The world of AI engineering is constantly evolving, and having the right tools is crucial. This article provides a practical guide to the must-have tools for every AI engineer. If you're passionate about coding and problem-solving, these tools will elevate your work and drive innovation. #AIEngineering #Innovation #TechTools

Jupyter AI connects generative AI with Jupyter notebooks.  #JupyterNotebooks #AI #JupyterLab #GenerativeAI https://lnkd.in/gKWbZTwR