ChatGPT GPT: PhotoFocus
ChatGPT introduced ‘GPTs’. I made one to answer photography questions.
You do have to be a ‘ChatGPT Plus’ user.
ChatGPT introduced ‘GPTs’. I made one to answer photography questions.
You do have to be a ‘ChatGPT Plus’ user.
Something I want to try but will likely be too lazy to.
Large-language-model (LLM) ensembles promise higher factual accuracy and richer answers than any single model, but only if the pipeline is designed to measure and mitigate bias while capturing the data needed for continuous improvement.This article describes an end-to-end pattern built around semantic XOR merging, independent judging, and rigorous logging. 1. Conceptual backdrop Element Purpose Candidate…
AJH: I generated this via the ChatGPT Deep Research tool. Currently, a ChatGPT Plus user ($20/month) can run ten ‘Deep Research’ tasks a month. I’ll conduct deep research into the current parallels between the U.S. (last 10 years) and pre-WWII Germany, analyzing political, economic, social, and media-related factors. The research will incorporate: I’ll gather the…
There was a post in a Facebook group ( https://www.facebook.com/groups/acdsee) asking how to add EXIF data to an image. The query was how to do this within ACDSee – this may be possible but I did not find the ability on a quick search. Seemed easy enough to do via command line. I started a…
Modern systems can query several LLMs (or one LLM with diverse prompts) and fuse their outputs into a superior answer. For example, the Conceptual Boolean Operations framework issues the same query to multiple providers, then applies Semantic XOR (and related operations) to compare responses. Conceptual XOR extracts the unique concepts each model brings (while AND…
Here is an AI generated podcast via https://notebooklm.google.com/ using content generated with GPT-Researcher. Audio podcast: PDF: