Critique AI

In recent times, critique ai has become increasingly relevant in various contexts. AI-written critiques help humans notice flaws - OpenAI. We compare human ratings of AI-written summaries between a control group receiving no assistance and an assisted group who get to see 8 AI-written critiques. Summaries are picked from 3 different sources. Finding GPT-4’s mistakes with GPT-4 - OpenAI.

We are beginning the work to integrate CriticGPT‑like models into our RLHF labeling pipeline, providing our trainers with explicit AI assistance. This is a step towards being able to evaluate outputs from advanced AI systems that can be difficult for people to rate without better tools. Self-critiquing models for assisting human evaluators. These results are a proof of concept for using AI-assisted human feedback to scale the supervision of machine learning systems to tasks that are dificult for humans to evaluate directly.

We release our training datasets, as well as samples from our critique assistance experiments. Found a flaw AI Self-Critique Limitation Report. This report highlights a fundamental limitation in current AI reasoning: the inability to proactively self-critique and stress-test logic before presenting conclusions. LLM Critics Help Catch LLM Bugs - OpenAI. We also investigated using our critique reward models to prioritize data and found that prioritizing tasks for which the sampled critique was highly scored increased the chances of catching a problem and decreased the rate of hallucinations.

Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform. The Multi-Agent Reasoning script creates an interactive chatbot .... Similarly, each agent brings unique perspectives and expertise, and through iterative steps of discussion, verification, critique, and refinement, they converge on a high-quality, accurate response. Building on this, our approach to alignment research - OpenAI.

As AI progress continues, we expect to encounter a number of new alignment problems that we don’t observe yet in current systems. Some of these problems we anticipate now and some of them will be entirely new. We believe that finding an indefinitely scalable solution is likely very difficult. Video analysis with Open AI - Community - OpenAI Developer Community. From another angle, a second round of AI processing may be required to remove the redundancy of what is reported in an image, as there is no actual long-term view of a video, only creative providing of images.

Persona based fine-tuning - API - OpenAI Developer Community. Hello, I am referring to the link (Use this JSON User Profile template to train/fine tune GPT-4), there is an attempt to finetune an LLM for a persona. Similarly, i have the following queries.

The format presented in the above link is a standard format to fine-tune the OpenAI LLM for a persona? i.e various key values like personality_traits, values_and_beliefs, goals_and_aspirations, skills, interests ...