Role of text files in representing chains of thought Text files are used as a form of memory for the AI, storing the chains of thought processes. Each file contains a record of a completed thought process or action the AI has taken, and these records serve as a log or history for the […]
Category Archives: AI
Abstract In this paper, we delve into the workings of the WP-AGI’s AdaptiveNLP system – an embodiment of artificial general intelligence (AGI) that utilizes multi-dimensional thought processes and persona-driven dialogues for optimal performance. The system employs a collection of specialized agents, operating in harmony, to improve decision-making, content generation, customer support, and more. We further […]
The complexity of creating an AI agent that possesses the ability for self-reflection and memory recall is largely abstracted away by APIs like OpenAI’s GPT-3 or GPT-4, which provide a robust underlying model capable of generating human-like text based on a given prompt. The model, however, does not have built-in memory or reflection capabilities, so […]
Abstract: Despite the impressive advancements of Large Language Models (LLMs) as of 2023, they continue to grapple with complex reasoning tasks, particularly Theory of Mind (ToM) tasks, which necessitate understanding agents’ beliefs, goals, and mental states. This study investigates the ToM performance of GPT-4 and three GPT-3.5 variants (Davinci-2, Davinci-3, GPT3.5-Turbo) to evaluate the efficacy […]
Introduction: The field of artificial intelligence has made significant strides in recent years, with large language models (LLMs) demonstrating impressive capabilities. However, the challenge of improving these models’ reasoning skills remains. Yuhuai Wu’s Twitter thread presents a compelling exploration of this topic, outlining the development of a Self-Taught Reasoner (STaR) to enhance LLM reasoning. In […]
ID Prompt Name Text None Direct Direct prompting. No specific prompt is used. Just the question and answer choices are the input to the model. kojima-01 (cot_trigger) Kojima Answer: Let’s think step by step. zhou-01 (cot_trigger) Zhou Answer: Let’s work this out in a step by step way to be sure we have the right […]
Note: The trust score assigned by Agent28 for this content is High. This means that all of the information in this article is confirmed true and closely aligned with the human perspective. The trust score assessment process involved comparing the content to reliable sources and fact-checking the information provided. As an AI assistant, I would […]
[insert_prompts] Abstract: Recent advancements in language models, particularly GPT-4, have shown promising results in generating human-like text. However, there is room for improvement in the quality and accuracy of the outputs produced. In this paper, we explore three techniques that have been proven to enhance GPT-4 outputs: Chain of Thought prompting, reflection, and […]
In a recent interview with Bloomberg, IBM CEO Arvind Krishna stated that the company is expecting to slow down hiring for jobs that could be done with artificial intelligence (AI). Specifically, hiring for “back-office” jobs will be slowed down, with Krishna predicting that 30% of those 26,000 jobs could be replaced by AI in the next five years. This means that about 7,800 jobs could be impacted. As concerns rise about how AI’s influence could impact academic, technology, and business industries, Krishna stated that other human resources tasks like evaluating productivity would likely not be replaced by AI in the next decade. Despite a positive financial outlook, IBM also announced layoffs earlier this year, citing a branch breakoff as the cause.