Large language models (LLMs) have made significant progress in various applications, but they continue to face substantial challenges in complex ...
One of the main challenges in ai research is verifying the accuracy of language model (LM) outputs, especially in contexts ...
Reinforcement learning (RL) is a specialized branch of artificial intelligence that trains agents to make sequential decisions by rewarding them ...
Introduction Prompt engineering has become essential in the rapidly changing fields of artificial intelligence and natural language processing. Of all ...
Can Transformers predict new syllogisms by composing established ones? More generally, what kind of targets can these models learn from ...
A new report from technology/artificial-intelligence/openai-working-new-reasoning-technology-under-code-name-strawberry-2024-07-12/" rel="nofollow noopener" target="_blank" data-ylk="slk:Reuters;elm:context_link;elmt:doNotAffiliate;cpos:1;pos:1;itc:0;sec:content-canvas"> The company says OpenAI is developing technology to bring advanced reasoning ...
When it comes to artificial intelligence, appearances can be deceptive. The mystery surrounding the inner workings of large language models ...
InternLM has presented its latest advance in large open language models, the InterLM2.5-7B-ChatGGUF is available in GGUF format. This model ...
Large language models (LLMs) face a critical challenge in their training process: the looming shortage of high-quality Internet data. Predictions ...
Software engineering has witnessed notable advancements with the development of large language models (LLMs). These models, trained on extensive data ...
