We're excited to announce Generative AI for Software Development, a new course, now available for pre-enrollment. Generative AI is reshaping developers' workflows, and this course offers a comprehensive pathway to understand and apply generative AI technologies in real-world software development. Taught by Laurence Moroney, Chief AI Scientist at VisionWorks Studios and former AI lead at Google, you’ll learn to use LLMs to assist with the core functions of a software developer or engineer, including code generation, optimization, debugging, and documentation, and you’ll enhance your efficiency and creativity through the tools and techniques you'll explore. 🔗 Integrate generative AI tools into your workflow. 🐛 Optimize and debug code with AI. 🚀 Develop advanced software solutions using AI. Generative AI for Software Development is available for pre-enrollment on Coursera now, and you can receive a certificate upon successful completion! Pre-enroll now and be the first to join: https://hubs.la/Q02GL_tx0
DeepLearning.AI
Software Development
Palo Alto, California 1,026,733 followers
Making world-class AI education accessible to everyone
About us
DeepLearning.AI is making a world-class AI education accessible to people around the globe. DeepLearning.AI was founded by Andrew Ng, a global leader in AI.
- Website
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http://DeepLearning.AI
External link for DeepLearning.AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Artificial Intelligence, Deep Learning, and Machine Learning
Products
DeepLearning.AI
Online Course Platforms
Learn the skills to start or advance your AI career | World-class education | Hands-on training | Collaborative community of peers and mentors.
Locations
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Primary
2445 Faber Pl
Palo Alto, California 94303, US
Employees at DeepLearning.AI
Updates
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This week’s AI news: 🚫 Copyright claims dismissed in GitHub lawsuit 📊 Study ranks AI models on openness 🖼️ Image generators in the arena Plus, Andrew Ng discusses political violence and AI’s role in strengthening democracy. Read #TheBatch now: https://hubs.la/Q02G_2C40
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A new short course on Pretraining LLMs, built in collaboration with Upstage, is live now! 💡 Have you ever wondered how models like Llama, Gemini, and Solar are created? In this course, taught by Upstage’s CEO Sung Kim, and CSO Lucy Park, you’ll explore a technique called pretraining, which is the first step of training a large language model. You’ll gain intuition about the scenarios where pretraining is a good option, the costs associated with it, and all the steps involved in the process, from data preparation to model configuration, and how to assess your trained model's performance. Join for free: https://lnkd.in/dX_-AUfh
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Researchers introduced Gradient Low-Rank Projection (GaLore), an optimizer modification that reduces memory usage during training of large language models. GaLore pretrained a 7 billion parameter transformer on a consumer-grade Nvidia RTX 4090 GPU using significantly less memory compared to traditional methods. GaLore's effectiveness stems from its ability to update optimizer states with an approximate gradient matrix, saving memory while maintaining performance. Read our summary of the paper in #TheBatch: https://hubs.la/Q02GS6zh0
GaLore, A Memory-Saving Method for Pretraining and Fine-Tuning LLMs
deeplearning.ai
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Amazon hired most of Adept AI's leadership and staff to enhance its agentic AI and automation capabilities. This move aligns with Amazon's broader strategy to compete in AI, following its $4 billion investment in Anthropic and ongoing development of new AI models. Learn more in #TheBatch: https://hubs.la/Q02GGtBs0
Amazon Add Majority of Adept AI Staff to Boost Agentic AI Capabilities
deeplearning.ai
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DeepLearning.AI reposted this
We value your feedback and want to make our events even better for you. 📅 Could you spare a few minutes to fill out a quick survey? Your insights will help us create more enjoyable and beneficial experiences: https://hubs.la/Q02GznNF0 We can’t wait to see you at our next event!
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We value your feedback and want to make our events even better for you. 📅 Could you spare a few minutes to fill out a quick survey? Your insights will help us create more enjoyable and beneficial experiences: https://hubs.la/Q02GznNF0 We can’t wait to see you at our next event!
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The rise of AI is complicating efforts by Google and other major tech companies to meet their greenhouse gas emissions targets. Learn how these companies are performing and the actions they’re taking to tackle this challenge in #TheBatch: https://hubs.la/Q02Gtf2n0
AI and Data Center Boom Challenges Big Tech's Emissions Targets
deeplearning.ai
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Initialization can have a significant impact on convergence in training deep neural networks. Simple initialization schemes can accelerate training, but they require some care to avoid common pitfalls. Read our guide to learn how to initialize neural network parameters effectively: https://hubs.la/Q02Gn9Fk0
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Anthropic introduced Artifacts, which allows users to work on generated outputs as independent files on Claude. Find more details in #TheBatch: https://hubs.la/Q02GkffD0
Claude 3.5 Sonnet's Artifacts Makes It Easier to Build and Code On-Site
deeplearning.ai