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- 🤖Quick software tips for new ML researchers
🤖Quick software tips for new ML researchers
🦾Plus: 🧠 Google releases its own ‘reasoning’ AI model
Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
🤖Building an LLM-Powered Slackbot
🆓 GitHub Copilot goes freemium
🎙️Multimodal data with LanceDB on TalkPython
✨ AI Video Magic Coming to Instagram
🤖 Google partners with Apptronik on humanoid robots
🎨 ChatGPT's MacOS desktop just got a whole lot better
💡 AI Tutorial:How to Add ChatGPT into Visual Studio Code
🤖 AI Tools and Data Tools to checkout
This data and the subsequent information is becoming essential for the businesses to plan their future development and marketing strategies. That is why the use of Open-Source Business Intelligence software is becoming the need of time.
This article describes Benchling's development of a Slackbot powered by a Large Language Model (LLM). The LLM taps into a knowledge base stored in Amazon Bedrock, allowing developers to ask questions and receive answers directly through the familiar Slack interface.
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Just a quick set of tips for new ML researchers working in Python who are likely self-taught and haven't had a mentor to guide them on best practices. They're small, easy, and will generally improve your productivity and level of professionalism. I wrote this up for a class intended to teach DL to engineers without an ML or software background and thought I'd share it.
Microsoft-owned GitHub just announced a free tier of its AI coding Copilot available in its VS Code editor, marking a major shift in AI coding accessibility as the company celebrates a milestone of 150M developers on the platform. The new free tier offers 2,000 monthly code completions and 50 chat messages, integrated directly into VS Code and GitHub's dashboard.
Multimodal data with LanceDB on TalkPython['Podcast']
LanceDB is a developer-friendly, open source database for AI. It's used by well-known companies such as Midjourney and Character.ai. We have Chang She, the CEO and cofounder of LanceDB on to give us a look at the concept of multi-modal data and how you can use LanceDB in your own Python apps
👨💻 Data Tools, Libraries
Clay (GitHub Repo)
Clay is a high performance 2D UI layout library that features microsecond layout performance, a flex-box-like layout model for complex, responsive layouts, WebAssembly support, and more.
Mizu (Website)
Mizu is a lightweight and customizable JavaScript library that makes building powerful web apps easy. It allows developers to render content wherever it is needed however they want through user-friendly APIs.
AI News:
Google unveils Gemini 2.0 Flash Thinking, a model showcasing transparent reasoning.
Key Points:
Google’s Gemini 2.0 Flash Thinking model answers complex questions by detailing its thought process.
The experimental AI integrates step-by-step reasoning to enhance problem-solving.
Users can experience the model’s capabilities on Google’s AI Studio.
Instagram is set to introduce generative AI tools enabling creators to edit their videos with simple text prompts. Announced by Instagram’s Adam Mosseri, these tools will allow users to alter outfits, backgrounds, add accessories, or even create animated versions of themselves. Powered by Meta’s Movie Gen AI, the features aim to simplify video editing and expand creative possibilities.
ChatGPT enhances macOS app integration with new read-and-analyze tools. ChatGPT’s "Work with Apps" now reads from apps like Xcode, Apple Notes, and IDEs. Advanced Voice Mode can process and answer queries about app content.
A team of researchers across 20 separate labs just unveiled Genesis, an open-source physics engine that combines generative AI with ultra-fast simulations, potentially transforming how AI learns to interact with the physical world.
Google DeepMind just announced a strategic partnership with Apptronik, an Austin-based humanoid robotics company, to combine advanced AI with cutting-edge hardware in the pursuit of versatile humanoid robots.
AI Tutorial
How to Add ChatGPT into Visual Studio Code
ChatGPT can read content from your coding apps, providing smarter, more accurate answers tailored to your work.
Open the ChatGPT macOS app and activate "Work with Apps" in the settings. (Make sure you are on the latest version of the ChatGPT macOS app)
Download the extension: openai-chatgpt.vsix from here
Install the VS Code extension via the VSIX file
Connect VS Code using the "Work with Apps" menu.
That’s it! You can now code with ChatGPT's assistance.
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A.I. Generated Image of the Day
👀 The justice league in a frank frazetta artstyle
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