AI for the ⚔️ Military and 🩺 Medical Industry and 📚 how to use Code Interpreter
🫶 Jobs — Advertise — Community 🫶
Hello Everyone 👋
Here is what we have today… Two of the largest industries are getting reshaped by Ai: Medical Ai tools keep getting better and the military is taking Ai toys for a spin. We also have Nvidia courses and its cloud offerings as well as tools and a guide to understand Code Interpreter, the new ChatGPT feature.
- 💻 What is Code Interpreter and How It Works
- 🧰 AI Tools of the Day — AIRPM: There is a prompt for that.
- ⚔️ The US Military Is Taking Generative AI Out for a Spin
- 📚 The Learning Corner (Stanford AI free courses)
- ☁️ Train Your AI Model with NVIDIA and Run:ai
- 💪🏽 Important AI News and Trends
- 🩺 Ai Medical tools keep getting better.
💻 What is Code Interpreter and How It Works
Imagine the power of visualizing and making sense of large datasets, whether they are self-created or downloaded. This is now a reality with the introduction of Code Interpreter in ChatGPT-4. Code Interpreter empowers you to plot and visualize datasets, clean them up, gain insights, and effectively communicate complex information for any purpose. Whether you’re exploring data trends, analyzing patterns, or presenting findings, Code Interpreter in ChatGPT-4 provides a seamless solution that enhances your data visualization capabilities.
Code Interpreter is an AI tool that enhances the capabilities of GPT-4. It allows AI to write and execute programs, solve problems using Python code, and improve math and language tasks. It automates data analysis, generates charts of all types, visualizations, and provides human-like reasoning. The tool saves time, reduces errors, and empowers users to focus on meaningful work. This represents a big step in the Code Interpreter world representing a positive vision of AI’s impact on work.
Steps to start using with Code Interpreter:
Choose GPT-4 (above), Start by uploading the data as clicking on the + sign:
I decided to visit Kaggle, a popular platform for accessing various datasets, to download some intriguing ones. My intention was to utilize these datasets to prompt ChatGPT-4 and gauge its capabilities. I asked it to provide insights into its interpretive abilities. Here’s the response I received:
Keep the above in mind when prompting, but there many creative ways to use Code Interpreter. Load your data and prompt for different plots and outputs. You can play with color schemes, sizes, and other parameters.
In Conclusion: Creativity and imagination still play a pivotal role when using new technology. This tool has allowed me to visualize lots of data, save time, and play with graphs that were time-restricted before, and didn’t know how to organize presentations. Here are some great resources that will help you maximize this amazing tool:
- What AI can do with a toolbox.
- ChatGPT Code Interpreter: How It Saved Me Hours of Work
- Data Visualization Assistance
🧰 AI Tools of the Day
Stop prompting on ChatGPT alone. Build a team and a prompt library in AIPRM. Stay synchronized, share prompts, and produce outstanding content together. Next time your team member is stuck, smile and tell them, with AIRPM there’s a prompt for that. Install on Chrome for Free. — Twitter
- Image to Meme — Convert any Image into an Awesome Meme with AI.
- LowCarbAi — Content Creation Platform for Low Carb & Keto Industry.
- Userdesk — Create AI ChatBots trained on your data ready for your website
- EarKick — Platform that measures and improves your mental health in real-time.
⚔️ The US Military Is Taking Generative AI Out for a Spin
The US military is testing large-language models (LLMs) for faster information retrieval and decision-making. These models generate human-like responses and are being used to streamline military operations. The experiments involve five LLM platforms and aim to incorporate AI-enabled data into military tasks. Concerns about biases and security are being addressed through thorough testing and collaboration with tech security companies.
📚 The Learning Corner
Two Nvidia Free Courses
1/ Building A Brain in 10 Minutes — Explores the biological and psychological inspirations for the world’s first neural networks. The goal of this course is to
- Exploring how neural networks use data to learn
- Understanding the math behind a neuron
2/ Getting Started with Video AI apps
Upon completion, you’ll be able to create your own deep-learning classification and regression models with the Jetson Nano.
- Set up your Jetson Nano and camera
- Collect image data for classification models
- Annotate image data for regression models
- Train a neural network on your data to create your own models
- Run inference on the Jetson Nano with the models you create
While in the topic, Check this by Nvidia
☁️ “Train Your AI Model Once and Deploy on Any Cloud with NVIDIA and Run:ai”
Organizations are adopting hybrid and multi-cloud strategies to access advanced computing resources and optimize costs. However, operationalizing AI applications across different platforms is a challenge. NVIDIA addresses this with a consistent, full-stack solution. Their Cloud Native Stack VMI is GPU-accelerated and pre-installed with Kubernetes and the NVIDIA GPU Operator, enabling developers to build, test, and run GPU-accelerated containerized applications. NVIDIA AI Enterprise provides enterprise support and Run:ai has certified it on their Atlas platform, simplifying GPU orchestration for AI workloads. This solution streamlines development, deployment, and support, accelerating AI workflows and improving efficiency.
💪🏽 Important AI News and Trends
- Comedian Sarah Silverman Sues OpenAI, Meta for Copyright Infringement
- In — or out? Wimbledon considers replacing line judges with AI
- In Battle With Microsoft, Google Bets on Medical AI Program to Crack Healthcare Industry
- AI for All: Powering APIs and Large Language Models with Lightning
- PoisonGPT: How we hid a lobotomized LLM on Hugging Face to spread fake news
- Google delays release of fully custom phone chip until 2025, The Information reports
- Alibaba launches A.I. tool to generate images from text
🩺 Ai Medical tools keep getting better. (link)
Google’s Med-PaLM 2, an AI tool for medical information, has been tested at Mayo Clinic since April. It’s an improved version of PaLM 2, trained on medical expert demonstrations. While it exhibits some accuracy issues, it performs well in reasoning and comprehension compared to doctors. Med-PaLM 2 respects data privacy and Google sees its potential for healthcare. Further information is awaited.
In the future, it is conceivable that doctors may be legally mandated to consult AI apps before making medical decisions. The vast amount of data available today is beyond the capacity of any human brain to process efficiently. This development represents an extraordinary era in which we live.
Thanks for reading and share your thoughts below.
