Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

🧪 Testing embedding model: text-embedding-3-small Embedding test passed. 🧪 Testing chat model: gpt-5-2025-08-07 Chat test passed. All tests completed But the result of running "rdagent fin_quant" is ...

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Introduction: Statin nonadherence remains a challenge—over 50% discontinue within one year. Clinical barriers include side effects and poor communication, but patient perspectives on social media are ...

Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...

Recently, Sharma et al. suggested a method called Layer-SElective-Rank reduction (LASER) which demonstrated that pruning high-order components of carefully chosen LLM’s weight matrices can boost ...