WebApr 7, 2024 · Compared to its predecessor, GPT-4 has an 82% lower likelihood of responding to requests for prohibited content and scores 40% higher on certain factuality tests. Additionally, developers can choose their AI’s tone and verbosity with GPT-4. For instance, GPT-4 can adopt a Socratic style of conversation, answering questions with … Web19 hours ago · The new Stable Diffusion XL produces photorealistic images and nearly perfect text characters. Plus, see our other picks for the week’s coolest generative AI tools. We just got the year’s ...
xsum_hallucination_annotations/README.md at master - Github
WebAug 27, 2024 · The scores of each of these (biased wording, factuality, story choices, political affiliation) is averaged to give one bias score. Scoring and classification on bias level is as follows: 0 – 2 = Least Biased (best) 2 – 5 = Left/Right Center Bias; 5 – 8 = Left/Right Bias; 8 – 10 = Extreme Bias (worst) Classifications on bias is as follows: WebFACTUALITY is a facilitated dialogue, crash course, and interactive experience, that simulates structural inequality, in America. Participants assume the identities of the … rocketchat ios
Check Your Facts and Try Again: Improving Large Language …
WebJul 18, 2024 · Jubilee Media says they create "human-centric" videos that aim to "challenge conventional thinking, bridge people together, and inspire love." Jubilee 's Middle Ground series, available on YouTube, warranted it inclusion on AllSides. The project features people with opposing political and religious views discussing these topics with one another. WebFeb 24, 2024 · It also iteratively revises LLM prompts to improve model responses using feedback generated by utility functions, e.g., the factuality score of a LLM-generated response. The effectiveness of LLM-Augmenter is empirically validated on two types of mission-critical scenarios, task-oriented dialog and open-domain question answering. WebFeb 24, 2024 · It also iteratively revises LLM prompts to improve model responses using feedback generated by utility functions, e.g., the factuality score of a LLM-generated response. The effectiveness of LLM-Augmenter is empirically validated on two types of scenarios, task-oriented dialog and open-domain question answering. rocketchat jitsi meet