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2 posts about Raft by 2 contributors.
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In the realm of large language models (LLMs), techniques like in-context learning (ICL), retrieval augmented generation (RAG), fine-tuning, and retrieval augmented fine-tuning (RAFT) are revolutionizing how these models process information and generate responses. These techniques address key challenges such as scalability.
The Raft Consensus Algorithm ensures fault tolerance and consistency in distributed systems. It simplifies leader election, log replication, and commitment, offering benefits like simplicity, safety, liveness, and flexibility.
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