DeepLearning.AI

New course with CrewAI! João (Joe) Moura is back to help you explore how multi-agent systems are used in real businesses today and how to improve them through performance testing and human feedback. You'll create crews, organize them into workflows, and build pipelines for more efficient automation. Here's a peek at what you’ll build: 📅 An automated project planning crew that breaks down projects and allocates resources. 📊 A report generator that interacts with project management tools like Trello. 💼 A sales pipeline agent that enriches leads and drafts personalized emails. 🛠️ A customer support analysis pipeline that creates issue reports and visualizations. 📝 A content creation crew that researches online, uses RAG to generate content, and refines it. Enroll for free: https://hubs.la/Q02VtSXK0

🔧 Question for Developers: How are you currently integrating AI into your software development workflow? AI is transforming the way we code, but we all approach it differently. Are you using AI for code generation, debugging, or perhaps for something more innovative? Share your experiences and tips in the comments! Interested in expanding your AI toolkit? Our new skill certificate on Generative AI for Software Development might have just what you need. Explore it now: https://hubs.la/Q02Wf9yK0

Researchers at Kuaishou Technology and two Chinese universities introduced Pyramidal Flow Matching, a technique that reduces processing requirements for training video generators. Using this method, they developed an open source text-to-video model and plan to release the training code. The system combines a pretrained image generator, an autoencoder, and text encoders (T5 and CLIP). By downsampling and upsampling video frame embeddings during the training process, it significantly reduces computation. Read our summary of the paper in #TheBatch: https://hubs.la/Q02W3MQp0

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

Twice a week, Data Points brings you the latest AI news, tools, models, and research in brief. In today’s edition, you’ll find: 🎥 Allegro: an open-source video generation model from Rhymes AI 🤖 Meta’s new quantized Llama 3.2: 1B and 3B model versions 💧 SynthID text: a new text watermarking tool 🛠️ Lingua and Self-Taught Evaluator: Meta’s model-training tools Read the full issue and subscribe to #DataPoints now: https://lnkd.in/di7aXb3b

Data engineering can be tough to break into—most companies don’t hire junior roles. Many start as software engineers or data analysts. Zach Wilson began his journey in a software engineering role himself! Learn more about his path in the Data Engineering professional certificate: https://hubs.la/Q02W0yV90

Amazon, Google, and Microsoft announced investments in nuclear energy projects to meet AI infrastrucuture's growing energy demands while reducing carbon emissions. 💼 Amazon is partnering with X-energy to develop and deploy small modular reactors in the U.S. 🔍 Google is collaborating with Kairos Power to build similar technology. ⚛️ Microsoft signed a deal to restart a nuclear plant at Pennsylvania’s Three Mile Island. Learn more in #TheBatch: https://hubs.la/Q02W1y6q0

We are proud to support the AI for Climate Matching Day on November 20th, where 30 inspiring nonprofits will showcase different AI solutions designed to combat climate change. 🔗 Learn more and register: https://lnkd.in/dTnN6fsx

#AIPythonforBeginners has equipped learners with practical Python skills. From automating tasks and improving efficiency to integrating LLMs into the process, learners all over the world are applying these skills in impactful ways. Swipe through to read their thoughts on this course series led by Andrew Ng. Ready to get started? Sign up for free: https://lnkd.in/ezbn6iwm

Mistral AI introduced two new local device-sized language models, Ministral 3B and Ministral 8B. Available in base and instruction-tuned versions, these models outperform similar-sized models from Google and Meta across benchmarks in knowledge retrieval, reasoning, and multilingual tasks. Both models can process 131,072 tokens and enable function calling to connect with other tools, APIs, and data sources. Learn more in #TheBatch: https://lnkd.in/eBS5vcKu