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The Chain-Of-X Phenomenon In LLM Prompting In a recent post, I discussed the seemingly emergent abilities of LLMs. A new study argues that Emergent Abilities are not hidden or unpublished model capabilities which are just waiting to be discovered, but rather new approaches of In-Context Learning which are being built.

Chain-Of-Note (CoN) Retrieval For LLMs Chain-of-Note (CoN) is aimed at improving RAG implementations by solving for noisy data, irrelevant documents and out of domain scenarios.

Discover how Southeast Asia's digital banks are outpacing traditional banks with Generative AI, transforming speed, personalization, and efficiency.

Discover how AI Co-Pilots revolutionize enterprise productivity and innovation, empowering smarter decisions and agile operations.

Compare Kore.ai vs. ChatGPT for your technology, service desk, and IT needs. Find out which tool is best suited for your company goals.

Knowledge-Driven Chain-of-Thought (KD-CoT) The aim of KD-CoT is to introduce faithful reasoning to LLM based Chain-of-Thought reasoning for instances where Knowledge-intensive Question Answering is required.