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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

V-STAR: TRAINING VERIFIERS FOR SELF-TAUGHT REASONERS

V-STaR is a novel approach to improving large language models that utilizes both correct and incorrect solutions generated during self-improvement to train a verifier, which then selects the best solution at inference time. The method has shown significant improvements in accuracy on code generation and math reasoning benchmarks compared to existing approaches, potentially offering a more efficient way to enhance LLM performance.

SCALING: THE STATE OF PLAY IN AI

LLMs like ChatGPT and Gemini are becoming increasingly capable as they scale up in size, data, and computing power, leading to improved performance across various tasks. Current Gen2 models like GPT-4 and Claude 3.5 are leading the market, with upcoming Gen3 models expected to further escalate capabilities and costs. The discovery of a new scaling law in AI, pertaining to increased "thinking" during inference, promises further advancements in AI performance beyond just model training.

TLDR IndexPage 3