?? The Most Influential People in AI / The Hidden Costs Behind ChatGPT / How to Humanize AI Text
Buckle up for a wild ride through the latest in artificial intelligence! This newsletter issue unpacks the innovations in generative AI and machine learning that are taking digital marketing into the future faster than ever before.
?? Time 100 AI: The Most Influential People in Artificial Intelligence
????????Humanize AI Text: How to Make AI Content Personal
?? Turbocharging Large Language Models with NVIDIA TensorRT-LLM
?? Streamlining AI Image Generation with Feng My Shui
?? The Hidden Costs Behind ChatGPT's Iowa Origins - with a lot of water
We hope you find these topics informative and insightful.
Time 100 AI: The Most Influential People in Artificial Intelligence
Time Magazine has released its inaugural Time100 AI list, highlighting the 100 most influential people in the field of artificial intelligence. The list includes leaders from industry, academia, and government, as well as individuals who are working to address the ethical and social implications of AI.
The list is divided into four categories: leaders, innovators, shapers, and thinkers. Leaders are individuals who are driving the development of AI through their research, business initiatives, or policy work. Innovators are those who are developing new AI technologies or applications. Shapers are individuals who are influencing the public discourse on AI. Thinkers are those who are providing insights into the ethical and social implications of AI.
Some of the notable names on the list include:
The Time100 AI list is a valuable resource for anyone who wants to learn more about the people who are shaping the future of artificial intelligence. It is also a reminder of the importance of considering the ethical and social implications of this powerful technology.
How the list was created
Time's editors and reporters spent months fielding recommendations from dozens of sources, to put together hundreds of nominations that they whittled down to the group you see today. They interviewed nearly all of the individuals on this list to get their perspective on the path of AI today.
What does the list mean?
The Time100 AI list is a snapshot of how an influential popular publication is reporting on AI to the masses. It is not an exhaustive list of all the important people in AI, but it does provide a good starting point for learning more about the field.
The list also highlights the diversity of the AI community. There are people from all over the world, from different backgrounds and disciplines, working on AI. This diversity is essential to the future of AI, as it will help to ensure that this technology is developed in a responsible and ethical way.
What can you do?
If you are interested in learning more about AI, you can:
The more you know about AI, the better equipped you will be to participate in the conversation about its future.
Humanize AI Text: How to Make AI Content Personal
Artificial intelligence is rapidly changing the way we live and work. And, in the world of content marketing , AI is being used to create everything from blog posts to social media captions. So, it has revolutionized various industries, including content creation.
While AI-generated content can be a valuable tool, it's important to humanize it so that it doesn't read like it was written by a machine.
In this article, we'll explore what AI content is, why it's important to humanize it, and how to do it. We'll also provide essential tips for writing human-like AI text that will engage your audience.
So, without further ado, let's get started!
领英推荐
What Is AI Content?
AI content refers to text, articles, blog posts, and even whitepapers generated by intelligent algorithms. While this technology offers numerous advantages, there is a growing need to humanize it.
AI-generated content is the outcome of machine learning algorithms that can analyze vast amounts of data, identify patterns, and generate written content that is coherent and relevant.?
These algorithms are trained on extensive databases of text, enabling them to mimic the style and tone of human-written content.
How Does AI Content Help?
The integration of AI content into various industries has brought numerous benefits.
Gaining Speed: To start with, AI content enables businesses to scale their content production. This provides them a cost-effective solution to the ever-increasing demand for high-quality content. It's possible to generate articles and blog posts at a rapid pace with AI tools.
Improving Efficiency: Another benefit of AI-generated content is to boost efficiency and productivity. Algorithms can process large amounts of data quickly, ensuring content is based on the most up-to-date information available. AI can also assist in identifying and correcting grammar, spelling, and punctuation errors, enhancing the overall quality of the content.
Personalizing User Experiences: Did you know that AI content can personalize user experiences? Yes, you’ve read that right. By analyzing user data and behavior, AI algorithms can tailor content to individual preferences and provide personalized recommendations. Sounds good, right? Because this would lead to higher engagement and customer satisfaction.
Turbocharging Large Language Models with NVIDIA TensorRT-LLM
Large language models (LLMs) enable incredible new AI capabilities, but their massive size makes them challenging to deploy efficiently. To address this, NVIDIA has developed TensorRT-LLM, an open source software for optimizing LLM inference on NVIDIA GPUs. Integrating innovations from leading AI companies, TensorRT-LLM includes optimized kernels, pre- and post-processing, and multi-GPU support to maximize performance.
Benchmarks show major speedups on key models like GPT-J and Llama 2 when using TensorRT-LLM on NVIDIA's new H100 GPUs. This translates to 5-8x better throughput than previous generation A100 GPUs, enabling faster results at lower cost. Beyond raw throughput, NVIDIA highlights how these performance gains can reduce total cost of ownership by 3-5x and energy consumption by over 5x.
As LLMs continue evolving, TensorRT-LLM aims to provide an extensible platform for customizing and accelerating new architectures. Combined with techniques like in-flight batching and FP8 quantization tailored for LLMs, NVIDIA is focused on enabling developers to productively harness LLMs while minimizing resource overhead. TensorRT-LLM demonstrates how specialized software and hardware optimizations can make large language models more accessible.
Streamlining AI Image Generation with Feng My Shui
Discord's limitations can make crafting and iterating on AI image prompts tedious. The app Feng My Shui aims to accelerate the process for Midjourney users with an interface optimized for quickly generating images.
Feng My Shui allows rapidly creating batches of images with features to re-run and automatically tune prompts. This removes the friction of manual tuning and Discord messaging. The app also provides a visual prompt builder to easily create detailed descriptions, along with a library to save and reuse prompts.
The Hidden Costs Behind ChatGPT's Iowa Origins - with a lot of water
While AI models like ChatGPT seem immaterial, their physical infrastructure demands intense computing resources. As Microsoft and OpenAI raced to develop advanced AI, they quietly turned to Iowa for a key ingredient - water.
OpenAI's GPT-4 model was built next to "cornfields west of Des Moines," utilizing the region's rivers for cooling. The massive computational power required generates substantial heat. Data centers pump in water for cooling towers to prevent overheating.
Microsoft disclosed a 34% spike in water consumption from 2021 to 2022, tied to its AI investments with OpenAI. Researchers estimate each ChatGPT query uses over 500mL of water, factoring in indirect usage like powering data centers. As public fascination grows over AI's possibilities, its environmental impacts remain largely hidden in places like Iowa. AI's promise comes at a tangible cost.