Associate Sales Director at NewFangled Vision | Generative AI | No-Code Data Analytics Platform | Ex-Indusind Bank, Edelweiss
🤖Discover the power of Data-Driven decisions with PolusAI, the Data Analytics platform powered by GenAI.🚀 With PolusAI, you can easily transform your data into valuable insights without any coding. Say goodbye to the hassle of data analytics and hello to effortless decision-making. #polusai #newfangled #insights #nocode #genai #enterprisesolutions #cto #ceo #mds
(18k+ followers) Lead Consultant | Variety of business industry experience incl. Manufacturing, Distribution, Energy, Marketing, and Food Industry.
🌊✍️ #GenAI is making waves in 2024, revolutionizing how businesses interact with unstructured data and creative content generation. 🦸🏻 But with great power comes great responsibility - especially in data management. As we dive into the era of LLMs and GenAI, ensuring #DataQuality and security has never been more crucial. Are you ready for the challenges and opportunities that lie ahead? Share your thoughts below. 👇
#DBT, Why not #ChatDBT? We are thrilled to launch #ChatDBT on Product Hunt. A visual data pipeline designer for DBT with GenAI in one page. Allow multiple roles including business stakeholders work on the same environment without context switch. Meet issue, chat with author directly. Highly appreciated you can go check it out and give a review. Thanks Arti Zeighami for visionary advisory. Thanks Ruben Laguna for help all the way long to debate and help us get out of stuck situation. Thanks Dandan Wei for #LLM and #RAG solution discussion. Thanks Sebastian Bergström for great user test and feedback. Thanks Keven(Qi) Wang, Jun Xie, Scott Zhou, C J for all the inspirational discussion. Thanks a lot dbt Labs develop and #opensource such great tool so that we develop #declarative #datapipeline with ease. The video is edited and produced by Bobben Yang. I would also like to thanks my family for tolerate my really stress and bad temper.
AI & Data Strategist, Lead Data Scientist of H&M group, Co-organiser WiDS Sweden, leverage ML/AI solutions for business value
Are your teams dedicating extensive resources to developing data pipelines for reporting and analytics? Are you crafting bespoke data pipelines for machine learning or AI initiatives? Do you need to streamline your data management processes with unparalleled ease and efficiency? Would a clear visualization of data dependencies and flow elevate your application's performance? Thanks to Rockie Yang #ChatDBT, where sophistication meets simplicity. Experience the intuitive drag-and-drop interface that harnesses the power of #GenAI, #RAG, and #LLM, allowing you to craft a comprehensive visual #datapipeline and #IDE with just a few clicks. Understand your application's data flow and dependencies with clarity and precision. Elevate your team's capabilities today with not #ChatDBT. Discover the potential – Explore now!
#DBT, Why not #ChatDBT? We are thrilled to launch #ChatDBT on Product Hunt. A visual data pipeline designer for DBT with GenAI in one page. Allow multiple roles including business stakeholders work on the same environment without context switch. Meet issue, chat with author directly. Highly appreciated you can go check it out and give a review. Thanks Arti Zeighami for visionary advisory. Thanks Ruben Laguna for help all the way long to debate and help us get out of stuck situation. Thanks Dandan Wei for #LLM and #RAG solution discussion. Thanks Sebastian Bergström for great user test and feedback. Thanks Keven(Qi) Wang, Jun Xie, Scott Zhou, C J for all the inspirational discussion. Thanks a lot dbt Labs develop and #opensource such great tool so that we develop #declarative #datapipeline with ease. The video is edited and produced by Bobben Yang. I would also like to thanks my family for tolerate my really stress and bad temper.
𝐓𝐞𝐬𝐭 𝟏𝟓𝟓 / 𝟑𝟓𝟎 - 𝐃𝐚𝐭𝐚 𝐃𝐫𝐢𝐟𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐎𝐛𝐣𝐞𝐜𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 The most common reason ML/AI models underperform in a production setting is because they’re running inference on datapoints that they haven’t been trained on (Out Of Distribution). RagaAI’s data drift detection test automatically detects such new scenarios, both at an image as well as detection (Region Of Interest) level. This helps users quickly recognise changes in the operating environment and proactively address likely false positives and false negatives. 𝐓𝐫𝐲 𝐢𝐭 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐨𝐧 𝐭𝐡𝐞 𝐑𝐚𝐠𝐚𝐀𝐈 𝐩𝐮𝐛𝐥𝐢𝐜 𝐬𝐚𝐧𝐝𝐛𝐨𝐱! 𝐋𝐢𝐧𝐤 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 #aicommunity #aitesting #RagaAI #machinelearning #aisafety #aichallenges
Innovations | Azure Infra and Data AI @Microsoft | Quantum computing enthusiast
Join the webinar tomorrow to learn more about value of GenAI Platform
#registernow: https://lnkd.in/gyw8mzCu Revolutionize Your Enterprise with Centralized GenAI Platforms! 🌐 📅 Date: June 12th, 2024 🕓 Time: 4:00 ECT / 10:00 AM EDT Learn how to implement an effective data strategy for centralized GenAI platforms. Don't miss out! Key Takeaways: 📊 Understand key components of an end-to-end data strategy. 🔗 Steps for seamless integration of GenAI solutions. 🔒 Overcoming scalability, security, and compliance challenges. 💬 Engage with Experts: Johan Krebbers and Tamara (Toma) Nesterova Nesterova. #EnterpriseAI #GenAI #DataStrategy #livewebinar Rakesh Reddy | Jagan Mohan Jami | Johan Krebbers | Poonam Chug | Abhishek Shanbhag | Shanawaz Sheriff | Narender Sg | Hemanth Kumar | Suresh Yallapragada | Pradeep Tigulla | Somjit Patnaik | Neha Pallod | Hithesh Deshpande | Akshat Gupta | Siddharth Agarwal | Rusha Thomas | Sareen Madupu | Satheesh Kothakapu | Nakul R | Sai Krishna
Health AI | Emergent Ventures Fellow | 1517 Fund Grantee | Intern at Dartmouth Hitchcock Center | TKS Alumni
Hey! I'm building a chatbot over the next 20 days that can provide personalized recommendations for cardiovascular conditions and features multilingual and voice capabilities. ---Day 8--- I had to redo my data.json file from yesterday because I realized there are 2 ways I can get better responses from my model: 1. Creating a vector database using Pinecone 2. Finetuning I chose to go down the route of fine-tuning, but I had to reformat my data.json file to match the OpenAI API documentation: https://lnkd.in/epmkRFkz Here's a great video explaining the fine-tuning documentation step by step: https://lnkd.in/eVJDRnNg Thank you Aleem Rehmtulla for helping to build this out! I would really appreciate any help to build up the 2nd version - would love to connect with experts in this space! PS: I got chatgpt to write my data.json file #promptengineering
If you're interested in GenAI Tar -which may not yet make financial sense, you should also give traditional TAR 1 another look in the meantime. Check out the paper for discussion on why, and how these workflows compare.
Why is there so much excitement over GenAI’s potential to replace human document review, while traditional TAR that replaces human review (“TAR 1”) has been less favored? GenAI, when used to predict review tags, shares many of the same benefits and drawbacks as traditional TAR 1. Learn what practitioners should keep in mind when using GenAI-based TAR, and how traditional TAR 1 may compare here: https://lnkd.in/e2xTrA_Q #LegalTech #GenAi #TAR
Great news! Next week, Giskard’s LLM Testing solution is launching on Product Hunt 🚀 This open-source testing framework for ML models & LLMs allows to detect hallucinations & biases automatically. This has been 2 years in the making, involving a group of passionate ML engineers, ethicists, and researchers, and we can't wait to show it to the world. If you appreciate our work and want to support us, reply here and we'll DM you a link on launch day! #AISafety #LLMs #opensource #testing #machinelearning
Have you ever wondered how our analytics engineering team writes the most efficient dbt Labs packages for your analytics use cases? Well, wonder no more! Our analytics engineering team is sharing their secret weapon: ChatGPT. Head over to our latest blog to learn more about how we at Fivetran use ChatGPT to deliver top-notch analytics:
