DeepLearning.AI’s Post

Exciting news! Our new Data Engineering Professional Certificate is now available for pre-enrollment on Coursera! Data engineering is the foundation that makes data useful to modern organizations. This course, taught by industry expert Joe Reis 🤓, will guide you through the entire data engineering lifecycle and provide hands-on experience with Amazon Web Services (AWS) and open source tools. Key takeaways include: 📊 Gain insights into the foundational lifecycle to approach data engineering problems systematically. 🏗️ Build different data storage architectures, query and transform your data, and serve your data to stakeholders for business analytics and machine learning use cases. 🎯 Serve processed data to data stakeholders to effectively drive business and organizational goals. 🔗 Pre-enroll now and get a 14-day free trial when the course launches next month! https://hubs.la/Q02Kgg1d0

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

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

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

Choose your fighter. ⚔️ . . . . . Original seen on Memes for Programmers on Reddit.

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

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 ⬇

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

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