AGI Alignment Experiments: Foundation vs INSTRUCT, various Agent
Por um escritor misterioso
Descrição
Here’s the companion video: Here’s the GitHub repo with data and code: Here’s the writeup: Recursive Self Referential Reasoning This experiment is meant to demonstrate the concept of “recursive, self-referential reasoning” whereby a Large Language Model (LLM) is given an “agent model” (a natural language defined identity) and its thought process is evaluated in a long-term simulation environment. Here is an example of an agent model. This one tests the Core Objective Function
The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions - ScienceDirect
Specialized LLMs: ChatGPT, LaMDA, Galactica, Codex, Sparrow, and More, by Cameron R. Wolfe, Ph.D.
OpenAI Launches Superalignment Taskforce
AI Agency Challenge
Machines that think like humans: Everything to know about AGI and AI Debate 3
R] Towards artificial general intelligence via a multimodal foundation model (Nature) : r/MachineLearning
AI Alignment: Why It's Hard, and Where to Start - Machine Intelligence Research Institute
Intro to brain-like-AGI safety] 10. The alignment problem — AI Alignment Forum
AI Safety 101 : Reward Misspecification — LessWrong
A new era of AI: a practical guide to Large Language Models - Unit8
The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions - ScienceDirect
RLHF: Reinforcement Learning from Human Feedback, by Ms Aerin
de
por adulto (o preço varia de acordo com o tamanho do grupo)
