What I find fascinating is the potential of thereasoning engine. There are already LLMs, a lot of data algorithms to help ingest, analyze and recommend. Now there's potential combination within agentic AI that will instantiate new workflows and deliver and execute actions base...
切换模式 登录/注册 Jiau 微信公众号『机器感知』 [Chain of Draft: Thinking Faster by Writing Less]: Large Language Models (LLMs) have demonstrated remarkable performance in solving complex reasoning tasks through mechanisms like Chain-of-Thought (CoT) prompting, which emphasizes verbose, step-by-step...
Propose a new method for refining LLM reasoning that decides when to refine using an ORM, where to refine using a SORM, and how to refine using both global and local refinements. We find the two types of refinement are complementary, each able to solve a large class of problems the other...
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant advancements in natural language processing, due to their strong text encoding/decoding ability and newly found emergent capability (e.g., reasoning). While LLMs are mainly designed to process pure texts, there are...
Personally, I would prefer to give Trump an F for failure as American witnessed a stunning line of reasoning by Trump recently when he called Ukrainian President Volodymyr Zelensky a dictator for not holding elections, and the one who started the war. Needless to say, these remarks set the in...
My main concern is that the AGI fears actually distract us from the real issues of bias … SAI Feed HYPER-PERSONALIZED graphs of reasoning and chain of thought PROMPTS for LLMsAside Point of this blog on Socializing AIFeaturedPPL “Artificial Intelligence must be about more than our things....