Dat Tran

🚀 Facing challenges with costly and time-consuming estimation sessions? Discover how probabilistic forecasting can be your game-changing solution in our blog: "Stop wondering and start using probabilistic forecasting: A case study at John Lewis & Partners". Delivery Lead Pieter Mouton shares how we worked with the JLP team to tackle their challenge, revolutionising agile practices and empowering teams with data-backed decision-making. Saying goodbye to uncertainty and hello to efficient forecasting. Read the full story here: https://hubs.li/Q02t9N4F0 #SoftwareSolutions #TeamWork

16

MLOps & CI/CD for Machine Learning Experimentation in 𝑨𝒓𝒂𝒃𝒊𝒄 by Mohammed Agoor Arabic-speaking data practitioners, this one's for you! Looking to streamline your machine learning workflows and boost experimentation efficiency? Mohammed Agoor has created a comprehensive, four-part video series on MLOps and CI/CD with CML, utilizing DVC pipelines for machine learning experimentation. 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: a real-world example using DVC to build an image classification pipeline. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗹𝗲𝗮𝗿𝗻: 🔹MLOps Fundamentals: Grasp core MLOps and CI/CD concepts for machine learning. 🔹DVC in Action: Set up DVC, manage data versioning, and integrate it with Git for seamless collaboration. 🔹Building ML Pipelines: Construct robust pipelines that automate data preparation, processing, and model training. 🔹CML for Experiment Tracking: Leverage CML alongside DVC to track experiments, manage data versions, and automate the entire ML workflow. The link to the videos will be in the comment section #MLOps #Arabic #CICD #DataScience @Jenifer De Figueiredo

17

3 Kommentare

Explore data completeness with complete() and CJ() and enhance your analyses for clearer insights! Read here : https://lnkd.in/eZPTyP2 #DataAnalytics #DataVisualization #RStudio #RProgramming #DataIntegrity

1

In the last year or so the #KnowledgeGraph community has seen a rise of enthusiasm over making #LLMs & KGs collaborate. This technical text bridges the gap between theoretical talk & practical, real-world application by showcasing how to use #GraphDB's vector capabilities to build a simple RAG retriever over a KG, using open, offline LLM models. https://hubs.la/Q02yRcSy0 #AIinAction #entitylinking #NLQ

23

In the last year or so the #KnowledgeGraph community has seen a rise of enthusiasm over making #LLMs & KGs collaborate. This technical text bridges the gap between theoretical talk & practical, real-world application by showcasing how to use #GraphDB's vector capabilities to build a simple RAG retriever over a KG, using open, offline LLM models. https://hubs.la/Q02yRr7s0 #AIinAction #entitylinking #NLQ

15

2 Kommentare

Tomorrow, don't miss our very own Guan Dian taking the stage at Echelon X to share insights into Patsnap's journey in implementing #AI technology. For nearly a decade, Patsnap has been at the forefront of the AI era, distinguishing ourselves through the pioneering adoption of AI technologies. From early versions of NLP and computer vision to cutting-edge Generative AI, we've continuously pushed boundaries. What sets us apart? We develop our own models, empowering us to innovate independently. Curious to learn more about how we’re leading the way in AI-powered innovation intelligence? Dive deeper into our journey: https://lnkd.in/eKmZZtpC #AI #Innovation #Patsnap #EchelonX

42

Slow dashboards got you down? Discover how #MaterializedViews can supercharge performance in our KB article! • Discover how pre-aggregated data cuts query times ⏱️ • Choose the best solution for your needs Optimize your #dashboards today! https://lnkd.in/epvk6Ms8 #Database

1

Slow dashboards got you down? Discover how #MaterializedViews can supercharge performance in our KB article! • Discover how pre-aggregated data cuts query times ⏱️ • Choose the best solution for your needs Optimize your #dashboards today! https://lnkd.in/eD3zUXZc #Database

1

Accelerate data connectivity with ease, so you can: ☑️ Generate semantic context ☑️ Automate data matching pipelines ☑️ Streamline data management ☑️ Create efficiency at scale All on a no-code platform utilizing semantic profiling and proprietary algorithms to automate data matching across disparate sources. Contact us for a free trial: https://lnkd.in/dRtP29_E ⬅️ #ADIPlatform #ConnectedData #DataIntegration #AI #LLM #ML #EntityResolution #DataManagement #ArtificialIntelligence #MachineLearning #SemanticProfiling

8

Implementing Advanced Agentic Vector Search with CrewAI and Qdrant Check out this comprehensive guide by M K Pavan Kumar on setting up an advanced vector search system using CrewAI and Qdrant. It outlines creating a fully autonomous agentic application capable of performing complex tasks such as vectorizing queries and retrieving similar documents. Here’s a snapshot of what you’ll learn: Core Components: - CrewAI Framework: This framework enables intricate interactions between AI agents, each with specific roles and objectives, to collaboratively perform tasks. - Qdrant Integration: Qdrant is utilized as the document store for efficient vector search operations. - Sequential Task Execution: Demonstrates the setup and execution of tasks in a defined order, enhancing workflow efficiency. Key Highlights: - Vectorization and Search: Learn how to configure agents to convert queries into vector embeddings and perform searches in the Qdrant database. - Environment Setup: Detailed instructions on setting up your environment, including API keys and embedding services. - Scalable Deployment: Insights on containerizing and deploying the application in Kubernetes environments for scalability. This guide provides a step-by-step walkthrough for developers looking to implement advanced vector search capabilities in their AI applications. The full article: https://lnkd.in/e-mZXWFk _____________ ✔️ Click "Follow" on the Cohorte page for daily AI engineering news. Credits: M K Pavan Kumar

5

1 Kommentar

DenserRetriever is a retriever platform which supports keyword search, vector search and reranker and it provides efficient solutions to build RAG applications. We benchmarked the Anthropic Contextual Retrieval dataset in DenserRetriever and reproduced impressive results! Our innovative integration of Elasticsearch + vector search powers large-scale, industrial RAG deployments. 🚀 💡 Even better? Open-source models matched or outperformed the accuracy of paid ones, offering a cost-effective solution without compromising performance. Say goodbye to high costs and hello to scalable, high-accuracy AI! Check out https://lnkd.in/gTpvtKrv for details. #DenserRetriever #AI #RAG #VectorSearch #OpenSource #AnthropicContextualRetrieval

1

Deep Dive into xLSTM with Max Beck at ML Week Europe Join us at Machine Learning Week Europe for a keynote by Maximilian Beck from Johannes Kepler Universität Linz and our NXAI team. Max will talk about “xLSTM: New Architectures for Large Language Models”, sharing his latest breakthroughs in efficient and scalable AI models. 👉 Ready to explore the future of AI? Join Max and the NXAI team in Munich at Machine Learning Week! #MachineLearning #xLSTM #AI #MLWeekEurope #NXAI Peter Seeberg, Martin Szugat

105

4 Kommentare

🚀 Introducing GPTBlue Stardust: No-Code Custom Models 🚀 Say goodbye to complex coding and data science and create custom AI models with just a few clicks. This first part of a three-part blog post series introduces a revolutionary no-code approach that transforms how businesses interact with their most valuable asset – data. 🔹 No-Code Simplicity: Embed custom data models effortlessly. 🔹 Speed & Efficiency: Process documents in minutes at a fraction of the cost. 🔹 Unmatched Accuracy: AI-driven training for superior precision. We have conducted two noteworthy tests to illustrate the transformative potential of GPTBlue. More about those in our blog post. 👇 https://lnkd.in/gbaSJ6e9 Visit bluecallom.ai and start your No-Code Prompting journey! Part 2: https://lnkd.in/gUYmg8mH Part 3: https://lnkd.in/gS8zwTfn #bluecallom #gptblue #genai #nocode #prompt

2

📁 𝐒𝐭𝐫𝐮𝐠𝐠𝐥𝐢𝐧𝐠 𝐭𝐨 𝐦𝐚𝐧𝐚𝐠𝐞 𝐭𝐡𝐞 𝐨𝐯𝐞𝐫𝐰𝐡𝐞𝐥𝐦𝐢𝐧𝐠 𝐯𝐨𝐥𝐮𝐦𝐞 𝐨𝐟 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬? Traditional methods fall short when it comes to extracting data and maintaining accuracy from unstructured documents. Kudra's AI-powered Intelligent Document Processing (IDP) is designed to tackle these challenges head-on. Our solution offers: • 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: AI understands context, ensuring precise data capture. • 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Automatically categorizes documents, reducing errors. • 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Continuous learning for reliable results. • 𝐅𝐫𝐚𝐮𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Flags inconsistencies, ensuring security. • 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Handles growing document volumes effortlessly. Transform your document management—Book your demo! https://lnkd.in/dFac9fkh #AI #DocumentProcessing #IDP #Automation

1

🚗🔍 Revolutionizing Labor Planning for a German Auto-maker with Data Science 🌟 At Datalycs, we’re committed to driving innovation. So, when we joined forces with Company X, a leading German Auto manufacturer, they were grappling with a pressing issue: struggling to plan their labor requirements based on quantity forecasts. 📉 The Challenge 🤯: In a detailed discussion with their Chief Operations Officer, we learned how mismatched labor planning and quantity forecasts were causing significant operational inefficiencies. Inaccurate labor scheduling led to either overstaffing or understaffing, impacting productivity and increasing costs. Uncovering the Insights 🔍: To tackle this issue, we conducted a thorough analysis of their data: 1. Historical Production & Sales Data: Evaluated to identify patterns and fluctuations in labor needs. 2. Forecasting Models: Assessed to understand discrepancies between forecasted and actual quantities. 3. Workforce Analytics: Analyzed current labor deployment and its alignment with production requirements. We crafted a customized dashboard that transformed these insights into actionable intelligence, providing Company X with a clear view of their labor needs. 📈 Crafting the Solution 🛠️ Here’s how we addressed the challenge: 1. Enhanced Forecasting Algorithms: Applied advanced machine learning models to improve the accuracy of quantity forecasts. 2. Labor Requirement Mapping: Developed tools to align labor planning directly with forecasted production needs. 3. Dynamic Scheduling Dashboard: Created an interactive platform for real-time adjustments and better resource management. The Results 💪 The impact was transformative: 1. 70% Improvement in Labor Forecast Accuracy: Leading to more efficient staffing and reduced labor costs. 2. 6% Reduction in Labor-Related Costs: Optimized labor allocation and minimized overstaffing/understaffing issues. 3. Increased Productivity: Enhanced alignment of workforce with production demands, boosting overall efficiency. Company X's success story highlights the power of data science in overcoming complex labor planning challenges. At Datalycs, we’re dedicated to helping automotive companies like yours turn data insights into strategic advantages. Facing similar issues? Let’s connect and explore how we can optimize your labor planning and production processes. #AutomotiveIndustry #DataScience #LaborPlanning #Forecasting #OperationalEfficiency #MachineLearning #DataDriven #ProductionManagement #WorkforceOptimization #Datalycs #Innovation #BusinessGrowth #Industry4_0 #Analytics #TechSolutions

1

2 Kommentare

Embrace ML-based AI in your foundry for high-precision casting quality and outcomes! 🏭 No extra HR needed—use your existing lab and rejection data, digitalized with our mobile and desktop apps. 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚 𝐝𝐚𝐭𝐚-𝐫𝐢𝐜𝐡, 𝐩𝐚𝐩𝐞𝐫-𝐟𝐫𝐞𝐞 𝐟𝐨𝐮𝐧𝐝𝐫𝐲 𝐚𝐧𝐝 𝐞𝐧𝐣𝐨𝐲 𝐭𝐡𝐞𝐬𝐞 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬: ◾️Habit-forming data discipline ◾️Structured, accurate data capture ◾️Unified data for seamless meetings ◾️Actionable insights for sand + metal processes ◾️Timely decisions for increased profits ◾️Informed workforce with real-time mindfulness ◾️Predictive & prescriptive analytics for better casting outcomes 𝐀𝐟𝐟𝐨𝐫𝐝𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐩𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐥𝐞! 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐮𝐬 𝐟𝐨𝐫 𝐚 𝐃𝐄𝐌𝐎 𝐚𝐭 𝐢𝐧𝐟𝐨@𝐦𝐩𝐦𝐢𝐧𝐟𝐨𝐬𝐨𝐟𝐭.𝐜𝐨𝐦 Our websites: sandman.co.in | mpminfosoft.com #Foundry #AI #DataDriven #DigitalTransformation #Manufacturing #PredictiveAnalytics #SmartManufacturing #Industry40 #CastingQuality #Profitability #Innovation #sandman #MetalCasting #CastingDefects #CastingRejection #IronCasting #CastIron #FoundrySolutions #FerrousCasting #DigitalManufacturing

13

Unlock the power of Snowflake Cortex and discover hidden patterns in text data with the EMBED_TEXT_768 function! At CG Infinity, we utilize this innovative technology to transform the way we analyze and interpret data. Stay tuned for more insights and updates on how Snowflake Cortex can revolutionize your data strategy. Follow us to learn more about our journey with this cutting-edge tool and see how it can benefit your business. #CGInfinity #PeopleFirst #Snowflake #Cortex #AI #Data #Revolutionize #Strategy #Technology #Business

12

Refine your #AI models with the right technique! Discover the differences between Retrieval-Augmented Generation (#RAG) and fine-tuning, and learn how RAG retrieves external data for accurate responses, while fine-tuning can customize models for specific tasks. Empower your projects by reading our latest comprehensive guide and see how to best apply these techniques for dynamic results. Read more - https://lnkd.in/ghxuFtqy #AppliedAI #GenerativeAI

27

Wondering what the difference between "Full Parameter Training" and "Parameter Efficient Fine-Tuning" is? Lost in the world of FP16, FP32, LoRA and QLoRA? Here's our comprehensive guide: https://lnkd.in/gWiQr-tb Not sure what approach works best for you? Fine-tune on Emissary and have the optimal path recommended! Start fine-tuning today :) #AdaptingIntelligence #Finetuning #LLM #AI

4