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 1,037,251 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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OpenAI is testing SearchGPT, an AI-powered search engine designed to compete with Google and Microsoft. Currently available to selected trial users, SearchGPT sources information from licensed publishers and web indexing. It aims to enhance the user experience by offering more interactive and informative results than traditional search. Learn more in #TheBatch: https://hubs.la/Q02K7Y5d0
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Last week we launched the short course Embedding Models: From Architecture to Implementation with Vectara! Join in and gain an in-depth understanding of the architecture behind embedding models; learn how to use different models such as Word2Vec and BERT in various semantic search systems, and build and train a dual encoder models using contrastive loss, enhancing the accuracy of question-answer retrieval applications. Start learning today: https://hubs.la/Q02K7ttb0
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Meta released Llama 3.1, a 405-billion parameter large language model that surpasses GPT-4 and Claude 3.5 Sonnet on several benchmarks. Llama 3.1 features a context window of 128,000 tokens and is available for a range of commercial uses. Alongside the flagship model, Meta also upgraded Llama 3’s 70 billion and 8 billion parameter versions. Learn more in #TheBatch: https://hubs.la/Q02K7tt10
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Andrew Ng was recently featured on Ed on the Edge with Michael T. Moe. Tune in to hear Andrew discuss the future of generative AI in learning and get a glimpse of the projects we're working on! 🎧 Catch the full episode here: https://lnkd.in/efJMbgeS
I had the amazing privilege of speaking with arguably the top AI expert on the planet, my friend Andrew Ng, on episode 17 of Ed on the Edge. Here's Dr. Ng on how Generative AI will impact learning (+ a teaser of a few transformational things his team is working on!) ⬇️ Link to full episode in comments!
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Don't miss this Ask Me Anything session with Vectara's Ofer Mendelevitch to talk about the short course Embedding Models: from Architecture to Implementation! See you on Monday at 10 AM Pacific Time. More info ⬇
Join us for a special Office Hours session with Ofer Mendelevitch, Head of Developer Relations at Vectara! Have questions about our latest course, "Embedding Models: from Architecture to Implementation", co-created with the legendary Andrew Ng of DeepLearning.AI? Now’s your chance to get answers and chat directly with Ofer! 🗓️ Date: Monday 8/5 ⏰ Time: 10 am PST 📍 Location: Vectara Discord https://lnkd.in/g85deBKw Whether you're looking for clarification on course content, seeking advice on implementation, or just eager to chat about AI, Ofer is here to help. Don't miss this opportunity to connect and learn from one of the best in the field. Join our Discord and mark your calendars. See you there!
Join the Vectara Discord Server!
discord.com
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DeepLearning.AI reposted this
What is contrastive loss and what does it have to do with embedding models in RAG? I'm exploring that in depth at our new short course with DeepLearning.AI about embedding models. Enroll here: https://t.co/4wuz0vAw6X Short course AMA next week: https://lnkd.in/gHsubhnu
Embedding Models: From Architecture to Implementation
deeplearning.ai
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Ready to go beyond RAG applications? Explore more advanced AI domains with MongoDB's upcoming webinar: Expanding LLM Applications: From RAG to Agentic Systems! Join MongoDB Developer Advocate Richmond Alake on August 15, 2024, at 8 AM PT, and explore: 1️⃣ Applying RAG expertise to advanced AI applications 2️⃣ Exploring AI agents and agentic systems 3️⃣ Creating tools for sophisticated retrieval mechanisms 4️⃣ Hands-on development of a basic agentic system Register here: https://hubs.la/Q02JQ8240
Expanding LLM Applications: From RAG To Agentic Systems
mongodb.com
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Your insights matter! Share your experiences with deep learning and the key issues that need attention with RapidFire AI, an AI Fund portfolio company building the agile deep learning platform for faster business impact with AI. Fill out the quick survey here: https://hubs.la/Q02JNG2H0
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