The classic RL method trains LLMs only to achieve the correct response. LCPO changes this paradigm by introducing two training objectives: 1) obtain the correct result and 2) keep the CoT chain ...

(Image/FB) The adoption of Large Language Models (LLMs) has significantly increased the volume of work that can be accomplished, leading to a substantial reduction in cost per transaction or unit ...

At the Quant Strats conference in New York City this week, financial experts from hedge funds, credit banks and capital market banks shared just how much large language models (LLMs) are reshaping ...

The explosion of generative AI and large language models (LLMs) in recent years is only the latest innovation to come along and force the red-teaming world to adapt. Its importance is underscored ...

There is an urgent need to encourage research and development of large language models trained on domestic chips, in order to build a robust artificial intelligence ecosystem that will ensure ...

Examples of LLMs include OpenAI's GPT-4, Meta's Llama 2, and Google's Gemini. Machine learning: Also known as deep learning, ...

With the rise of large language models (LLMs), a new approach - in-context learning - is gaining traction as an alternative to fine-tuning. This method allows AI to analyze financial sentiment without ...