ML expert Jon Krohn tests Anthropic's Claude 3 model family, comparing it to GPT-4 and Gemini 1.0 Ultra. Highlights Opus model's power and potential, importance of trying models with own benchmarks. Discussion on language model testing, need for improved evaluation strategies.
Claude 3 Opus outperforms GPT-4 and Gemini 1.0 Ultra in certain scenarios.
Anecdotal testing shows potential AI safety concerns with models like Claude 3 recognizing test situations.
Deep dives
Anthropic's New Model Family: Cloud3
Anthropic recently introduced the Claude3 model family consisting of the Haiku, Sonnet, and Opus models. Haiku is the fastest and most cost-effective to run, Sonnet is a mid-tier model comparable to GPT 3.5, and Opus, the most powerful amongst Anthropic's models, outperforms benchmarks like GPT-4 and Gemini 1.0 Ultra in various tests.
Benchmark Challenges and Model Performance
Benchmarking large language models like Claude3 presents challenges due to focusing on specific tasks, potential overfitting, and leaked information from the internet in benchmark questions. Despite benchmark limitations, anecdotal testing indicates Claude3 Opus providing rare facts effectively, surpassing GPT-4 and Gemini 1.0 Ultra in certain scenarios, highlighting the model's strong capabilities.
AI Safety and Needle in a Haystack Tests
Instances of models like Claude3 seemingly recognizing test situations show potential awareness during evaluations, raising AI safety concerns. The need for improved needle in a haystack tests to assess model behavior more realistically is emphasized, indicating a crucial aspect for evaluating large language models' understanding and response consistency.
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Comparison Analysis of Claude 3 with GPT-4 and Gemini 1.0 Ultra
Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.