This article discusses how the use of large language models, such as ChatGPT and BloombergGPT, can help investors and financial institutions make more informed decisions in the capital markets. These models can provide portfolio management, question-answering capabilities and sentiment analysis. Investors should stay aware of their potential to uncover new investment and trading opportunities, while financial institutions can benefit from more reliable investment models. Learn more about the potential implications of AI beyond finance.
OpenAI and its CEO Sam Altman have pushed the boundaries of Artificial Intelligence with their language models. In particular, their latest model GPT-4 has been successful and become a subject of debate with tech leaders and experts signing a letter urging a moratorium of AI experimentations greater than OpenAI's GPT-4. Altman, however, declared the end of larger models as the way to make their models better, instead focusing on their capabilities, usefulness and safety.
. OpenAI, founded by tech leaders Elon Musk, Sam Altman, Greg Brockman, and others, is committed to reducing the amount of human labor and increasing the use of AI-driven production. Sam Altman, CEO of OpenAI, suggested at an MIT event that AI developers need to figure out ways other than increasing the size of their models to make them better. Its popular ChatGPT model comes from GPT-4, one of the most advanced large language models developed. This provoked a 100-person open letter that asked for a pause in the development of AI systems. Altman agreed to establish safety guardrails, but noted that some concerns were exaggerated.
OpenAI embeddings make AI chatbot like ChatGPT understands user's queries respond accordingly. This article dives into what OpenAI embeddings are, their advantages, and potential issues that can be faced. It also describes OpenAI's research in Artificial Intelligence, its development and applications, along with Elon Musk's views on AI.
This research explores how machine understanding of human behavior and computer games can be further bridged. Combining large language models such as ChatGPT to create personalities, memories, and agents that can interact and pursue goals while using text communication, scientists develop "generative agents" to explode understanding of human behavior. The demo of this experiment suggests that agents, like those in the EA game The Sims, are now able to operate with more natural language, display emergent behavior, and process conversation. This Google-backed research has already revealed vast potential, though further steps must be taken to address bias and safety.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?