OpenAI's GPT-4 performs well in terms of math and hallucination rates compared to other AI models, but it is less effective at hedging its answers, according to a report by Arthur AI.
AI models are becoming more general purpose and can be used as powerful, adaptable tools in various fields, not just for the specific tasks they were initially trained for, opening up new possibilities for AI applications.
A second-year undergraduate student, Hannah Ward, has used AI tools like Chat GPT to analyze 120 transcripts and generate 30 distinctive patterns and new insights, showcasing the potential of AI in revealing remarkable new information and aiding curious learning.
Prompt engineering and the use of Large Language Models (LLMs), such as GPT and PaLM, have gained popularity in artificial intelligence (AI). The Chain-of-Thought (CoT) method improves LLMs by providing intermediate steps of deliberation in addition to the task's description, and the recent Graph of Thoughts (GoT) framework allows LLMs to generate and handle data more flexibly, leading to improved performance across multiple tasks.
Microsoft has introduced the "Algorithm of Thoughts," an AI training method that enhances the reasoning abilities of language models like ChatGPT, making them more efficient and human-like in problem-solving. This approach combines human intuition with algorithmic exploration to improve model performance and overcome limitations.
Large language models like GPT are revolutionizing the practice of introspection, amplifying human capacity for thought and offering fresh perspectives, but also raising ethical questions about authorship and the nature of human thought.
A team of researchers from Humboldt University of Berlin has developed OpinionGPT, an AI model intentionally tuned to generate outputs with expressed bias, but the model's biased responses may not accurately reflect real-world bias.
Meta is developing an AI model aimed at competing with OpenAI's GPT-4, signaling an intensification of the AI arms race as Meta strives to catch up with its rivals.
Morgan Stanley has launched its generative AI assistant, based on OpenAI's GPT-4, for all financial advisors, aiming to revolutionize client interactions and increase efficiency.
Generative AI tools like GPT-4 and Dall-E 2 can revolutionize the gaming industry by creating thousands of unique assets for game worlds, improving immersion and reducing costs for developers.
