In a recent YouTube tutorial, Andrej Karpathy—the wizard behind Tesla’s Autopilot and OpenAI’s GPT—unveiled the secrets of tokenization. Buckle up, tech-savvy professionals, because this isn’t your run-of-the-mill theoretical lecture. It’s a hands-on journey into the heart of language models. So, what’s the deal with tokenization? Imagine it as the backstage choreographer for Large Language Models (LLMs). It translates between human-readable strings and the cryptic tokens that LLMs munch on. In this tutorial, we’re not just peeking behind the curtain; we’re building our own tokenizer from scratch. Here’s the lowdown: So grab your code editor, channel your inner Karpathy, and let’s build...
Tag: AI
5 Posts
Are you tired of sifting through mountains of data, drowning in analytics, and feeling like you’re always one step behind your digital marketing goals? Welcome to the era of GA4 Mastery, where the power of Google Analytics 4 (GA4) meets the limitless potential of ChatGPT. In this blog, we’re about to unlock the secrets that will forever change how you navigate the complex world of web analytics. Whether you’re a seasoned data wizard or just dipping your toes into the data-driven universe, these top five tips are your golden ticket to turbocharging your workflow, driving better insights, and achieving digital...
Following up on the list of 2023's most exciting projects, here is the list of the most useful, innovative and exciting LLM-powered projects I found in 2024.
In the rapidly evolving business landscape, agility and responsiveness are key. This article delves into the importance of harnessing and acting on the vast data available to businesses. It highlights the need for companies to become proactive 'thermostats' rather than reactive 'thermometers' in their environment, emphasizing the role of strategic automation in achieving this goal. The article explores five critical barriers to data-driven maturity: scalability, efficiency, consistency, accuracy, and the tech stack. Each section provides insights into overcoming these challenges through smart automation and data handling strategies. For example, it discusses how scalability can be achieved by automating data processing, and how efficiency in data analysis leads to more strategic and creative business practices. The article also touches upon the future of business and technology, predicting that 90% of data will become actionable in real-time through machine learning, and AI will play a significant role in transitioning to a 4-day work week. This shift promises greater efficiency and a better balance between professional and personal lives. Finally, it introduces Baresquare as a comprehensive solution to these challenges. As an enterprise-level SaaS product, Baresquare streamlines data handling and decision-making processes, offering real-time actionable insights through its AI-powered analytics platform. It positions itself as a tool that not only meets current business needs but also paves the way to a smarter, AI-driven future in business operations.
Researchers found that LLMs' performance can be enhanced using emotional stimuli in prompts. Amazing right? Who would have thought that a machine would react differently to emotions like humans do?
