Data contain 63 UN policy documents and press releases from the Digital Library covering the years 2017 to March 2024 and over 700 distinct codes for Thematic Analysis generated by the custom GPT model developed for the AI & Geopolitics Project (AIxGEO). More information can be found in the ReadMe file.

The potential of using Chat GPT and AI to revolutionize the way we interact with computers, specifically in the field of medical diagnostics. Chat GPT can make conversations between doctors and patients more natural, while AI can analyze vast amounts of patient data to identify trends and estimate a patient’s health. Patients can use Chat GPT to better understand their medical conditions, and both Chat GPT and AI can be used to automate tasks such as scheduling appointments and processing test results. However, there are limitations to using AI, including data bias, complex results, and analysis errors. To reduce errors, it is important to validate findings using various techniques and ensure that data is accurate and up-to-date. Chat GPT also employs security measures to protect patient data privacy and confidentiality.

Comparison of Tokens used to run all evaluations in the Artificial Analysis Intelligence Index by Model

This if the data we used for our analysis

This study aims to explore students' associations with Artificial Intelligence (AI) and how these perceptions have evolved following the release of Chat GPT. A free word association test was conducted with 836 German high school students aged 10–20. Associations were collected before and after the release of Chat GPT, processed, cleaned, and inductively categorized into nine groups: technical association, assistance system, future, human, negative, positive, artificial, others, and no association. In total, 355 distinct terms were mentioned, with “robot” emerging as the most frequently cited, followed by “computer” and “Chat GPT,” indicating a strong connection between AI and technological applications. The release of Chat GPT had a significant impact on students' associations, with a marked increase in mentions of Chat GPT and related assistance systems, such as Siri and Snapchat AI. The results reveal a shift in students' perception of AI-from abstract, futuristic concepts to more immediate, application-based associations. Network analysis further demonstrated how terms were semantically clustered, emphasizing the prominence of assistance systems in students' conceptions. The findings underscore the importance of integrating AI education that fosters both critical reflection and practical understanding of AI, encouraging responsible engagement with the technology. These insights are crucial for shaping the future of AI literacy in schools and universities.

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Seconds to Output 500 Tokens, including reasoning model 'thinking' time by Model

Quardo/Turkish-Chat_GPT-4O

  Description

This is a simple dataset generated by OpenAI's GPT-4O (gpt-4o-2024-08-06). The dataset includes various entries created and evaluated by the AI model, providing a unique collection of Turkish chat data for analysis and research.

  Warning

Please note that this dataset may contain errors or inconsistencies as it is fully generated by an AI model. It is highly recommended to check and edit the data before usage, as AI can… See the full description on the dataset page: https://huggingface.co/datasets/Quardo/Turkish-Chat_GPT-4O.

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Context Window (Tokens) by Model

Comparison of Represents the average of coding benchmarks in the Artificial Analysis Intelligence Index (LiveCodeBench & SciCode) by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Output Tokens Used in Artificial Analysis Intelligence Index (Log Scale) by Model

Comparison of Represents the average of math benchmarks in the Artificial Analysis Intelligence Index (AIME 2024 & Math-500) by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Output Speed (Output Tokens per Second) by Model

Comparison of Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index by Model

Comprehensive comparison of Artificial Analysis Intelligence Index vs. Price (USD per M Tokens, Log Scale, More Expensive to Cheaper) by Model

Comprehensive comparison of Latency (Time to First Token) vs. Output Speed (Output Tokens per Second) by Model

Comparison of Image Input Price: USD per 1k images at 1MP (1024x1024) by Model

Comprehensive comparison of Output Speed (Output Tokens per Second) vs. Price (USD per M Tokens) by Model