New LLM outperforming GPT-3.5
Refuel LLM (84.2%) outperforms trained human annotators (80.4%), GPT-3-5-turbo (81.3%), PaLM-2 (82.3%) and Claude (79.3%) across a benchmark of 15 text labeling datasets.
반응 (1)
비슷한 프로덕트
설명이 비슷한 순
An LLM purpose built for data annotation
news.ycombinator.comoutperforms GPT-3.5
Benchmark evaluating LLMs on their ability to create and resist disinformation. Includes comprehensive testing across major models (Claude, GPT-4, Gemini, Llama, etc.) with standardized evaluation metrics.
I built the LLM Comparison Tool I wish existed
llm-stats.comThe AI Leaderboard — independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models by intelligence, speed and price. Composite LLM Stats Score updated continuously from public benchmarks and live API metrics.
GPT-4 level summarization at 63% less cost and 11 times the speed
blog.langchain.devLearn how fine-tuning ChatGPT with synthetic data surpasses GPT-4 summarization while cutting costs by 63% and boosting speed 11x using LangSmith.
Improve Text-to-SQL Accuracy with LLM
github.comA repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL