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

WizardLM (@WizardLM_AI) / X
GitHub - uncbiag/Awesome-Foundation-Models: A curated list of foundation models for vision and language tasks

A High-level Overview of Large Language Models - Borealis AI

Artificial General Intelligence and how (much) to worry about it

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions - ScienceDirect

2023-9 arXiv roundup: A bunch of good ML systems and Empirical science papers

What Are Large Language Model (LLM) Agents and Autonomous Agents

Essential Guide to Foundation Models and Large Language Models, by Babar M Bhatti

AI alignment - Wikipedia

ChatGPT, Next Level: Meet 10 Autonomous AI Agents: Auto-GPT, BabyAGI, AgentGPT, Microsoft Jarvis, ChaosGPT & friends, by Maximilian Vogel, The Generator
My understanding of) What Everyone in Technical Alignment is Doing and Why — AI Alignment Forum
Artificial Intelligence & Deep Learning, Fastformer: Additive Attention Can Be All You Need
de
por adulto (o preço varia de acordo com o tamanho do grupo)