If you are new to learning Python or you want to revise a few concepts, This is a MUST SAVE cheat sheet which covers all things Python3 🐍🤓 #BigData #Analytics #DataScience #AI #MachineLearning #Python #Coding #100DaysofCode #ML

“Generative models allow machines to learn from data and then create new, original content, and they have the potential to revolutionize industries from music to fashion to gaming.”  ~Yann LeCun #ai #MachineLearning #generativeAI #WednesdayMotivation

Did you know that up to 80% of a data scientist's time is often spent on data preparation! 💡 Why? Because data quality matters! A thread. 🧵

Automated EDA can help with: 🚀 Accelerating Feature Engineering 🔄 Streamlining Data Cleaning 🎯 Enhancing Model Selection 🌐 Generalization Insights 📊 Interactive Visualizations

🧠 As we strive to create smarter machines, we also embark on a journey to question our potential. Could this be the final creation that propels us into a new era? Let's ponder this; where innovation meets introspection. 🚀 #WednesdayWisdom #markovml #ai #machinelearning

[Download 156-page PDF] Create GUIs with #Python: linkedin.com/posts/paulocri…

Recently released - MVDream possesses the capability to generate 3D images with geometric consistency based on a single input prompt. 📐 📄 Paper: arxiv.org/abs/2308.16512 🧑🏻‍💻 Code: github.com/MV-Dream/MVDre… #machinelearning #artificialintelligence #generativeai #generativeai

Large Language Models (in 2023) An excellent summary of the research progress and developments in LLMs. I appreciate that Hyung Won Chung made this content publicly available. It's a great way to catch up on some important themes like scaling and optimizing LLMs. talk:

🧠 An overview of deep learning methods! Source: Machine Learning India #deeplearning #machinelearning #ai

Announcing a new FREE short course on LLMOps and building with LLMs. Learn about working and building with LLMs more effectively by leveraging advanced prompting techniques, experiment management tools, fine-tuned models, and much more. The LLM space is quickly developing but

Deep learning lessons (known in 2016 but starkly confirmed since): 1. Scalable ideas > clever ideas 2. Improving the dataset > improving the model 3. Engineering chops > academic chops

Announcing MetNet-3, the first AI weather model to learn from sparse observations and outperform the top operational systems up to 24 hours ahead at high resolutions. A portion of its forecasts are now available across various Google products. Learn more→ goo.gle/40ljd2Y

A nice cheat sheet of different monitoring infrastructure in cloud services. This cheat sheet offers a concise yet comprehensive comparison of key monitoring elements across the three major cloud providers and open-source / 3rd party tools. Let's delve into the essential

Microsoft launched the best course on Generative AI. The free 12 lesson course is available on Github and will teach you everything you need to know to start building Generative AI applications. Each lesson includes: - a short video introduction to the topic - a written lesson

SynthID can now watermark AI-created audio. 🎶 Its first deployment will be through Lyria, our most advanced AI music generation model to date. How does it work? 🧵 dpmd.ai/synthid-audio

No one: Literally no one: ChatGPT: "In the realm of ....."

AnyDoor is now online and it's incredible! It can be used for virtual try-on, moving, swapping, or inserting objects into new scenes, and shape editing This will be huge for e-commerce. More examples in thread

If you think you’re done, think twice.

A wild weekend in the world of AI. -Leak reveals Gemini Ultra coming this week -Tim Cook hints AI coming to Apple -Alibaba model beats GPT-4 Vision -Google released MobileDiffusion -Open-sourced free GPT Store Here's what you need to know:

Survey of LLMs Reviews three popular families of LLMs (GPT, Llama, PaLM), their characteristics, contributions, and limitations. Includes a summary of capabilities and techniques developed to build and augment LLM. It also discusses popular datasets for LLM training,