I’ve been wanting to find an accessible, quality explanation to summarise how Large Language Models actually ‘do their thing’ – and finally, here’s a brilliant example:
Highly recommend watching this talk by @karpathy to build an understanding of how LLMs workhttps://t.co/clo6iaA12X pic.twitter.com/85xdlVekq9
— Lenny Rachitsky (@lennysan) February 19, 2024
It’s an hour long, but it provides the kind of detail that really helps explain the theory behind the concept.
With that useful, meaningful content added – I’m struggling to get the rest of this post written. What to do, what to do?
I keep trying to find the time to write this post, so here goes:
Title: The Future of AI: Trends and Innovations Shaping 2024
Introduction
Artificial Intelligence (AI) has permeated every facet of our lives, from healthcare to transportation, and its evolution continues at an unprecedented pace. This article explores the latest advancements and trends in AI that are set to redefine the landscape in 2024 (OpenAI, 2023).
Section 1: The Rise of Customized Chatbots
In 2024, tech giants like Google and OpenAI are focusing on developing user-friendly platforms that allow people to customize powerful language models and create their own mini chatbots (OpenAI, 2023). These platforms require no coding skills and are expected to make generative AI accessible to the average person (OpenAI, 2023).
Section 2: Multimodal AI Models
State-of-the-art AI models, such as GPT-4 and Gemini, are now multimodal, meaning they can process not only text but images and even videos (OpenAI, 2023). This new capability could unlock a whole range of new applications. For instance, a real estate agent can upload text from previous listings, fine-tune a powerful model to generate similar text, upload videos and photos of new listings, and simply ask the customized AI to generate a description of the property (OpenAI, 2023).
Section 3: AI and Open Source
The year 2023 marked significant advancements in open-source AI, licensing debates, and the emergence of powerful generative AI models (OpenAI, 2023). The open-source boom continues, but AI companies like OpenAI and Google DeepMind still stole the limelight (OpenAI, 2023).
Section 4: AI in Various Industries
AI’s potential is being realized in various industries. For instance, GitHub’s Copilot, an AI tool that turns natural language prompts into coding suggestions, is revolutionizing programming (GitHub, 2023). Similarly, DALL-E 2, the AI text-to-image generator, has the potential to revolutionize the world of digital art (OpenAI, 2023).
Conclusion
The rapid advancements in AI are reshaping our world in ways we could not have imagined a few years ago. As we move forward, it’s crucial to keep an eye on these trends and understand their implications for society. The future of AI is here, and it’s transforming everything in its path.
References
OpenAI. (2023). Annual Report. OpenAI.
GitHub. (2023). Copilot: Revolutionizing Programming. GitHub.
The preceding post was written by Microsoft CoPilot, using the prompt “I want to write a cutting-edge article about AI. It should include in-text Harvard citations, and Harvard referencing at the end.”
I guess what I’m saying is, yes – we know what these tools can do...
Just for a giggle, I then ran this post through WordPress’s AI Assistant, which gave the following review:
This article has now been written, and critiqued, by AI.