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A new evaluation benchmark called WildBench has been introduced by Allen AI to assess Large Language Models (LLMs) on 1024 challenging tasks from real-world scenarios. The benchmark covers various areas such as coding, creative writing, and analysis. The importance of proper evaluation methods for LLMs is highlighted, with discussions on existing benchmarks and the need for more efficient evaluation processes.
Congrats to the team @cognition_labs ๐ฅ I think the LLM benchmarking example w @perplexity_ai tried by @shreyanj98 https://t.co/AYyldHZF3p
๐ Why is LLM evaluation important for improving models and applications? How do you assess an LLMโs task suitability? What are ways to determine the necessity for fine-tuning or alignment? Join our webinar on the 14th to get the answers. ๐๐ https://t.co/A0cuQV2bFI
I'm writing a series posts showing anyone how to build & productionize an LLM powered app. Here's the first one where I go from 17% to 91% accuracy through Prompt Engineering on a real world use case! ๐ฉ๐ผโ๐ป Notebook: https://t.co/rmzjiEqf7Z โ๐ผ Blog post: https://t.co/xA2Dq9NIMSโฆ
