Reward models holding back AI? DeepSeek’s SPCT creates self-guiding critiques, promising more scalable intelligence for enterprise LLMs.Read...
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While DeepSeek R1 and OpenAI o1 edge out Behemoth on a couple metrics, Llama 4 Behemoth remains...
CoTools uses hidden states and in-context learning to enable LLMs to use more than 1,000 tools very...
Researchers from Singapore Management University developed a new domain-specific language for agents to remain reliable.Read More
The researchers compared two versions of OLMo-1b: one pre-trained on 2.3 trillion tokens and another on 3...
METASCALE uses a three-stage approach to dynamically choose the right reasoning technique for each promblem.Read More
With multiple sampling and self-verification, Gemini 1.5 Pro can outperform o1-preview in reasoning tasks.Read More
SEARCH-R1 trains LLMs to gradually think and conduct online search as they generate answers for reasoning problems.Read...
Chain-of-experts chains LLM experts in a sequence, outperforming mixture-of-experts (MoE) with lower memory and compute costs.Read More
A-MEM uses embeddings and LLMs to create dynamic memory notes that automatically link to create complex knowledge...
