Discord channel. Get exclusive access to our DataPro beta program, and even have a chance to win Amazon gift cards! All this is available for just $7.99 per month. Remember Benjamin Franklin's words, "An investment in knowledge pays the best interest." There’s no better time to invest in your professional growth than now. Don't miss this opportunity to power up your data journey. Voice Cloning Startup ElevenLabs Raises $80 Million, Achieves Unicorn Status: ElevenLabs, a voice AI startup, secured $80 million in Series B funding, reaching a $1 billion valuation. Their tech creates realistic voices from text or samples, targeting audiobooks, dubbing, and gaming. While investors highlight its potential, ethical and legal concerns persist regarding voice cloning. 💎 Meta CEO Mark Zuckerberg Enters Race to Build AGI: Meta CEO Mark Zuckerberg aims to develop artificial general intelligence (AGI), bolstered by 600,000 GPUs by 2024. He plans to integrate AGI into Meta apps and share models openly, though closure is an option if safety or strategic concerns arise in the pursuit of superhuman intelligence. AI in Education 💎 WHO Releases Guidance on Ensuring Ethics of Powerful AI Models: The WHO releases guidelines for Large Multi-Modal Models (LMMs) in healthcare, highlighting their potential and risks. Over 40 recommendations address responsible development, oversight, and equitable use, emphasizing diversity and safety to protect users and promote health equity. AI in Finance 💎 Unlocking the Secrets of Prompt Engineering - By Gilbert Mizrahi "Unlocking the Secrets of Prompt Engineering" is your go-to guide to mastering AI-driven writing with large language models (LLMs). Learn prompt fundamentals, apply LLMs for content creation, chatbots, and coding. Explore practical use cases, from product descriptions to creative writing. Dive into advanced applications, ethics, and best practices. Unlock AI's full potential in writing and boost productivity. Machine Learning for Time Series - Second Edition - By Ben Auffarth This latest book offers an elaborative guide to Python time-series packages, aiding in the creation of predictive systems. Covering traditional autoregressive models to modern non-parametric ones, this edition explains loading time-series data, deep learning, convolutional networks, and gradient boosting. New additions include financial market forecasting and case studies. Master time-series analysis with machine learning. Making Sense of Time: Understanding the Mathematical Underpinnings of Recurrent Neural Networks: Discover the math behind Recurrent Neural Networks (RNNs), which excel in analyzing sequences like time series. The author explains RNN equations, shows how to build one from scratch in Python, and demonstrates their use in predicting stock prices, revealing their ability to capture time-based patterns. 💎 How to Combine Language Models: Combine ML models to create a versatile AI. The article explains techniques like weighted averaging and dealing with parameter conflicts. Learn to merge Mistral, WizardMath, and CodeLlama using the mergekit toolkit. 💎 linkdd/aitoolkit: The AI Toolkit library provides C++ tools like finite state machines, behavior trees, utility AI and goal-oriented action planning to help developers create intelligent non-player characters for their games. 💎 FlagOpen/TACO: Topics in Algorithmic COde generation is a dataset containing over 25,000 programming problems to evaluate state-of-the-art models. |