DeepLearning.AI

Introducing AI Python for Beginners, taught by Andrew Ng! This four-part course is designed to launch your Python learning pathway in an innovative way: 🛠️ Learn Python fundamentals while applying them in practical projects 👩💻 Work alongside an AI assistant that offers real-time feedback, debugging help, and answers to coding questions 🔢 Learn core concepts: variables, functions, loops, and data structures 📒 Get hands-on experience with Jupyter Notebooks, a tool widely used by professional developers No prior coding experience is required! Whether you're aiming for a career in software development or looking to boost efficiency in your current role, this course offers valuable skills for any knowledge-based profession. The first two parts of this series are now available! Enroll for free: https://hubs.la/Q02KqnD10

Cosine’s coding assistant, Genie, achieved top performance on the full SWE-bench benchmark by solving 30.1 percent of problems. Fine-tuned from GPT-4o, Genie uses an agentic workflow to retrieve information, plan, code, and run tests, improving coding efficiency and accuracy. Learn more in #TheBatch: https://hubs.la/Q02N752R0

Join our friends at Haystack on September 10 for a live AMA with Tuana Çelik, Developer Relations Lead, focused on our short course Building AI applications with Haystack. Let’s learn, connect, and level up together! 🗓️ September 10, 2024 🕘 9 am PT | 12 pm ET | 6 pm CET RSVP: https://hubs.la/Q02N77010

🤷 . . . . . Original found on Memes for Programmers on Reddit.

Researchers developed a system that allows a man who lost the ability to speak due to amyotrophic lateral sclerosis (ALS) to communicate again in a synthetic version of his original voice. The system uses brain implants to capture speech signals and machine learning models to decode and synthesize speech. With continuous training and adaptive learning, the system achieved 97.5% accuracy, enabling the patient to speak at a rate of 31.6 words per minute. Learn more in #TheBatch: https://hubs.la/Q02N6TZL0

Arumkumar, from India, shares some valuable advice for new coders: start with a strong foundation and embrace the ups and downs of programming. Swipe through to read his full insights. Don’t forget to share yours in the comments! #AIPythonForBeginners

This week in #TheBatch: ➡️ Brain implants and AI restore man's voice after ALS ➡️ Genie coding tool sets new benchmark record ➡️ AI lobbying intensifies in the U.S. Plus, Andrew Ng discusses falling LLM token prices and what they mean for AI companies. Read The Batch now: https://hubs.la/Q02MZYqH0

New course with Google Cloud! Large Multimodal Model Prompting with Gemini, taught by Erwin Huizenga is live 🚨 Learn how Large Multimodal Models (LMMs) like Gemini integrate text, images, and video to deliver more comprehensive and accurate outputs. Did you know that for LMMs, placing text inputs, such as a patient’s medical history, before image inputs like an X-ray, can improve the model’s interpretation? In this course, you'll explore best practices for multimodal prompting, and learn how to properly set parameters for more consistent results. You'll explore: 🧩 Differences and use cases for Gemini Nano, Pro, Flash, and Ultra models. 🛠️ Effective techniques for prompt engineering LMMs 📐 Best practices for creating multimodal applications. 🔗 How to integrate Gemini with external APIs using function calling Start building smarter apps with multimodal capabilities now! Learn more and enroll for free: https://hubs.la/Q02MVfPK0

Researchers from Carnegie Mellon University derived scaling laws that show how the utility of data examples in training vision-language models diminishes with repeated use. Their findings suggest that while selecting the highest-quality examples is beneficial for smaller compute budgets, introducing lower-quality examples can enhance performance as computational resources increase. Read our summary of the paper in #TheBatch: https://hubs.ly/Q02MPx3c0

Thank you for sharing your inspiring experience, Iman! We're glad you're having fun while learning 🎉