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Rated #1 AI checker by Forbes. Flagged as AI? Our free AI detector checks AI-written content and humanizes AI generated text to bypass all AI detection tools.

AI-powered literature sourcing tool that quickly retrieves relevant texts based on user input. With advanced natural language processing techniques, it provides easy access to diverse information sources, saving time and effort. Get help from Sourcely AI.

ChatGPT is like a powerful tool that can do amazing things with words. But to get the most out of it, you need to know how to ask the right way. Think of it like asking a genie for a wish—you’ve got…

Google has announced that its Bard AI chatbot can now answer questions about YouTube videos.

Amazon is rolling out an assistant that uses generative artificial intelligence to help users search and shop for products.

New Architecture Ideas - Designed by AI

AI-powered solution to simplify the way you interact with your documents and youtube videos. Instantly get answers from your documents within seconds.

Language models (LMs), such as GPT-4, are at the forefront of natural language processing, offering capabilities that range from crafting complex prose to solving intricate computational problems. Despite their advanced functionalities, these models need fixing, sometimes yielding inaccurate or conflicting outputs. The challenge lies in enhancing their precision and versatility, particularly in complex, multi-faceted tasks. A key issue with current language models is their occasional inaccuracy and limitation in handling diverse and complex tasks. While these models excel in many areas, their efficacy could improve when confronted with tasks that demand nuanced understanding or specialized knowledge beyond their general capabilities.

AIandYou is a community-facing platform fostering a more inclusive and empathetic artificial intelligence ecosystem through free online resources, global dialogues with diverse communities, and the expert advice of a diverse leadership.

Will AI literacy soon become as important a subject to teach in schools as reading, writing and math?Many education leaders think so, as ChatGPT and ...

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If AI will take my job, it might as well start with literature reviews

First, let’s disambiguate between two questions: should I cite the AI tool that I used, and how should I cite the AI tool that I used? The first question rests on the nature of your AI tool use, and to answer it, I will break down aspects of research into parts. The second question is proced

We introduce meta-prompting, an effective scaffolding technique designed to enhance the functionality of language models (LMs). This approach transforms a single LM into a multi-faceted conductor, adept at managing and integrating multiple independent LM queries. By employing high-level instructions, meta-prompting guides the LM to break down complex tasks into smaller, more manageable subtasks. These subtasks are then handled by distinct "expert" instances of the same LM, each operating under specific, tailored instructions. Central to this process is the LM itself, in its role as the conductor, which ensures seamless communication and effective integration of the outputs from these expert models. It additionally employs its inherent critical thinking and robust verification processes to refine and authenticate the end result. This collaborative prompting approach empowers a single LM to simultaneously act as a comprehensive orchestrator and a panel of diverse experts, significantly enhancing its performance across a wide array of tasks. The zero-shot, task-agnostic nature of meta-prompting greatly simplifies user interaction by obviating the need for detailed, task-specific instructions. Furthermore, our research demonstrates the seamless integration of external tools, such as a Python interpreter, into the meta-prompting framework, thereby broadening its applicability and utility. Through rigorous experimentation with GPT-4, we establish the superiority of meta-prompting over conventional scaffolding methods: When averaged across all tasks, including the Game of 24, Checkmate-in-One, and Python Programming Puzzles, meta-prompting, augmented with a Python interpreter functionality, surpasses standard prompting by 17.1%, expert (dynamic) prompting by 17.3%, and multipersona prompting by 15.2%.

Hello everyone! Ok, I admit had help from OpenAi with this. But what I “helped” put together I think can greatly improve the results and costs of using OpenAi within your apps and plugins, specially for those looking to guide internal prompts for plugins… @ruv I’d like to introduce you to two important parameters that you can use with OpenAI’s GPT API to help control text generation behavior: temperature and top_p sampling. These parameters are especially useful when working with GPT for tas...

Examples and recipes for Llama 2 model. Contribute to facebookresearch/llama-recipes development by creating an account on GitHub.

OpenAI's next model will be able to do "a lot, lot more," Altman told Axios.

SeamlessM4T allows people to communicate effortlessly through speech and text across different languages.

The Practical Strategies… collection provides educators with clear, practical advice on using Generative AI

Books Book: AI Super-Powers: China, Silicon Valley, and The New World Order Book: Architects of Intelligence: The truth about AI from the people building it Book: Artificial Intelligence: A Guide f…

The workforce of the future will require not just data scientists but broad AI literacy across all job roles. We define the 4 C's of AI Literacy - Concepts, Context, Capability and Creativity.

Why AI Literacy is critical for all humans. Two historical examples from other technologies may show the way forward.

What is AI Literacy? How should you become AI literate? What is the AI Literacy Act? AI Regulations in the United States.

Experts say anti-plagiarism AI tools like watermarking will fall short, and more districts may release frameworks on the technology’s use.

Bus driver shortages caused chaos in all 50 states this past back-to-school season.

A biased AI model must have learned a biased relationship between its inputs and outputs. We can fix that.

There's a revolution coming in how America's measures what students are learning and how to skills-based, relevant, and more engaging.

One year on, are we there yet?