The modern data science platform that enables data scientists to rapidly explore data, build predictive models, and deploy data apps in concert w/stakeholders
📈Solve any data problem with just one sentence 📈
This week we officially launched Einblick Prompt–built on top of @OpenAI and @langchain–bringing #GenerativeAI workflows to our AI-native data notebooks.
Learn more: https://t.co/yqoFMb91hA
@fab_altendorfer Also check you're running JupyterLab v 4.0 or greater. If either of these things don't work, or if you have any other questions, please reach out to our support team on our Discord server: https://t.co/v5JwOnGZ67
🛫 ICYMI: Deploy instantly with Python frameworks in Einblick. Utilize packages like Flask, FastAPI, and Dash easily with Einblick. Check our website for in-depth tutorials and to learn more. https://t.co/tiDyXBPeXD #pythonprogramming
@fab_altendorfer Thanks for reaching out! If the Einblick button appears disabled, it's likely an installation issue. Try uninstalling the extension (so the Einblick button goes away entirely) then reinstalling it through the extension manager in JupyterLab.
🤔 So how do you build a domain-specific code generator? Something that is more powerful, yet more focused than #ChatGPT4? @philippeichmann, one of our co-founders, and Nate Bowditch, one of our developers, tell us how. https://t.co/M7Edh14tnl #DataScience#GenerativeAI
💡 Context is the key to effectively leveraging #GenerativeAI for #DataScience and other technical tasks. 🌟 That's why we built the most robust, context-aware JupyterLab extension for data science, using generative AI to boost productivity: https://t.co/2f6Vt01LHp
🚀 Announcing Einblick Prompt AI for #JupyterLab! ✨ Revolutionize your data workflow with #GenerativeAI . Generate, modify, and debug code effortlessly! 📊 Dive into the future of #DataScience today. @ProjectJupyter Check it out: https://t.co/L6WGZPY8nF
Join our colleagues at @csail_alliances for "Research to Reality" on November 16, 2023, to hear how three @MIT_CSAIL and @MITSTEX startups made the leap from academic research to a viable business (@Inkbit3D, Nectry, & @EinblickAI)
Register here: https://t.co/SMbeX1N31y
Curious how to level up your data workflow with #GenerativeAI ? Check out our free Prompt Example Library ➡ https://t.co/oZouZSi2GR
You can ask the AI agent embedded in our AI-native #data notebooks, to clean data, create custom #dataviz, and even build models. #DataAnalytics
ChartGen AI, the groundbreaking new online application from @EinblickAI , an AI-native data notebook based on 6 years of research at MIT and Brown University.
Read more- https://t.co/B9EGMecHKA
#chartgenai#ainative#einblick
Thank you, @Analyticsindiam, for showcasing our work. The future of code is natural language. Our AI agent, Prompt, can write and fix code, create beautiful charts, and much more. We're proud to streamline all parts of the #data workflow. #GenAI#Python
➡️https://t.co/hfQfdEVFLs
Clicking through dozens of radio buttons, sliders, and options just to get one bar chart? You don't have to anymore! ➡ 📈 From text to chart in seconds. Try ChartGen AI: https://t.co/JtnRQPsGKz (It's free--no account needed!)
#DataAnalytics#GenerativeAI#dataviz
Announcing ChartGen AI on @ProductHunt! Create beautiful charts & graphs from your data with just one sentence. No more fiddling with toggles & sliders. Upload a dataset, describe the chart, and generate instantly! Download as a PNG or SVG. Check us out: https://t.co/tuRTEZSg0f
🤖 Wonder how #ChatGPT Code Interpreter stacks up against other #GenerativeAI apps? Check out our blog post: https://t.co/2UcjvqVb54
We tested the Code Interpreter against our own AI agent, Einblick Prompt! See the screenshots, code generated, and more below! #DataScience
⚡ Are generative AI "assistants" and copilots effective for #DataAnalytics and #DataScience ? ⚡ In the second in our series covering popular #GenerativeAI apps, we test out @github copilot and our AI agent, Einblick Prompt. https://t.co/0rIga9Q22b #chatgpt4#openai
🤔 So what's the difference between Jupyter AI and Einblick Prompt and GitHub Copilot and #chatgpt4 Code Interpreter? 🤔
In a comprehensive blog post, we broke down the differences between our recently launched AI agent, Einblick Prompt, and #jupyter AI.
https://t.co/FmxB40ageO
Ever wondered how to leverage #GenerativeAI for #DataScience and #DataAnalytics? Check out how data scientist, Paul Yang, used our recently launched AI agent, Einblick Prompt, to analyze customer responses to a promotional campaign. YouTube link ▶️: https://t.co/uSgIeYVtdZ
❗Knowing how to code is great. Writing code is a slog. This is one of the many reasons we launched Einblick Prompt--to bring the power of #ChatGPT to our AI-native data notebooks.
📑 Read more about why ChatGPT and #Python make such a great combination: https://t.co/sSTjYoFq0j