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.
Panagiotis Tzamtzis - Digital analytics consultant & Web developer
Believe it or not NVIDIA is making Pandas 150x faster without source code changes. What you need to do? Their RAPIDS library will automatically know if you’re running on GPU or CPU and speed up your processing. You can try it here: https://colab.research.google.com/drive/12tCzP94zFG2BRduACucn5Q_OcX1TUKY3 Github Repo (7K stars): https://github.com/rapidsai/cudf UPDATE: It is now integrated directly in Google Colab! 🤩 Sign up to receive updates about new posts!
Andrew Karpathy (Former Sr Director of AI @Tesla & Research scientist @ OpenAI) recorded a great 1 hour introduction to the mechanics of Large Language Models. I really liked the easy-to-understand examples that even non-experienced listeners can relate to, the awesome summarization of the most important events/breakthroughs that lead the field to where we are today and the LLM OS analogy. Sign up to receive updates about new posts!
The world of artificial intelligence is rapidly evolving, and 2023 has seen some of the most innovative and groundbreaking developments in AI technology. This article takes a closer look at the most exciting AI projects and libraries that are shaping the future of technology.
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.
A curated a list of NPM packages that I find myself using on almost every project I am working on.
Welcome to the future, where artificial intelligence transcends boundaries and reshapes our understanding of what’s possible. In this blog post, prepare to embark on a journey through the most mind-blowing AI statistics that will leave you in awe of the incredible advancements and impact of artificial intelligence in our world. From unprecedented growth to groundbreaking applications, these statistics serve as a testament to the transformative power of AI. Get ready to be amazed and enlightened as we unravel the fascinating realm of artificial intelligence statistics that defy imagination. AI leads to revenue increase and cost reduction in marketing In the...
1. Put into custom instructions/prompts: do not respond if you are unsure of the answer. 2. Ask yes/no questions when possible to limit responses. 3. Instruct your AI to reference sources when necessary. 4. Direct your AI to ask follow-up questions if it does not understand a task. 5. Make your prompts emotional.
The Neuron newsletterA list savvy tricks to ensure AI doesn’t slip you false info.
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?
If you’re tired of grappling with Google Tag Manager (GTM) and longing for expert advice to make your work more efficient, you’re in the right place. In this article, we’re unleashing ChatGPT’s top five tips to supercharge your GTM workflow. You won’t want to miss these game-changing hacks, from automating repetitive tasks to getting insights that will make your analytics sing. Rewrite incompatible source code GTM only supports source code compatible with ES5. For instance, you cannot register variables using const or let. But if you have an ES6 source code snippet you want to use in GTM just ask...
