IRL 25: Evaluating Language Models on Life's Curveballs
A study evaluated four AI models—Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, and Mistral Large—on real-life communication tasks, revealing strengths in professionalism but weaknesses in humor and creativity.
Read original articleA recent evaluation of language models focused on their ability to handle real-life communication challenges, rather than traditional benchmarks. The study tested four leading AI models—Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, and Mistral Large—across 25 scenarios that often leave humans at a loss for words. Scenarios included crafting excuses for missed deadlines and writing sincere breakup messages. A panel of expert writers and journalists judged the responses based on clarity, detail, and tone, using Elo ratings to rank the models.
The results indicated that all models performed well, often surpassing human communication standards, particularly in professionalism and warmth. However, they struggled with humor and creativity, suggesting room for improvement. Each model exhibited distinct communication styles: Claude 3.5 Sonnet was noted for its warmth and adaptability, GPT-4o for its balanced yet sometimes robotic responses, Gemini 1.5 Pro for its concise friendliness, and Mistral Large for its thoroughness.
Ultimately, Claude 3.5 Sonnet emerged as the top performer, effectively balancing tone and formality across various scenarios. The evaluation highlights the potential of AI in enhancing communication while also identifying areas for further development, particularly in humor and imaginative responses. The study encourages businesses and AI enthusiasts to explore these findings and consider custom evaluations for their models.
Related
Testing Generative AI for Circuit Board Design
A study tested Large Language Models (LLMs) like GPT-4o, Claude 3 Opus, and Gemini 1.5 for circuit board design tasks. Results showed varied performance, with Claude 3 Opus excelling in specific questions, while others struggled with complexity. Gemini 1.5 showed promise in parsing datasheet information accurately. The study emphasized the potential and limitations of using AI models in circuit board design.
Claude 3.5 Sonnet
Anthropic introduces Claude Sonnet 3.5, a fast and cost-effective large language model with new features like Artifacts. Human tests show significant improvements. Privacy and safety evaluations are conducted. Claude 3.5 Sonnet's impact on engineering and coding capabilities is explored, along with recursive self-improvement in AI development.
Gemini's data-analyzing abilities aren't as good as Google claims
Google's Gemini 1.5 Pro and 1.5 Flash AI models face scrutiny for poor data analysis performance, struggling with large datasets and complex tasks. Research questions Google's marketing claims, highlighting the need for improved model evaluation.
My finetuned models beat OpenAI's GPT-4
Alex Strick van Linschoten discusses his finetuned models Mistral, Llama3, and Solar LLMs outperforming OpenAI's GPT-4 in accuracy. He emphasizes challenges in evaluation, model complexities, and tailored prompts' importance.
Coding with Llama 3.1, New DeepSeek Coder and Mistral Large
Five new AI models for code editing have been released, with Claude 3.5 Sonnet leading at 77%. DeepSeek Coder V2 0724 excels in SEARCH/REPLACE operations, outperforming others.
Related
Testing Generative AI for Circuit Board Design
A study tested Large Language Models (LLMs) like GPT-4o, Claude 3 Opus, and Gemini 1.5 for circuit board design tasks. Results showed varied performance, with Claude 3 Opus excelling in specific questions, while others struggled with complexity. Gemini 1.5 showed promise in parsing datasheet information accurately. The study emphasized the potential and limitations of using AI models in circuit board design.
Claude 3.5 Sonnet
Anthropic introduces Claude Sonnet 3.5, a fast and cost-effective large language model with new features like Artifacts. Human tests show significant improvements. Privacy and safety evaluations are conducted. Claude 3.5 Sonnet's impact on engineering and coding capabilities is explored, along with recursive self-improvement in AI development.
Gemini's data-analyzing abilities aren't as good as Google claims
Google's Gemini 1.5 Pro and 1.5 Flash AI models face scrutiny for poor data analysis performance, struggling with large datasets and complex tasks. Research questions Google's marketing claims, highlighting the need for improved model evaluation.
My finetuned models beat OpenAI's GPT-4
Alex Strick van Linschoten discusses his finetuned models Mistral, Llama3, and Solar LLMs outperforming OpenAI's GPT-4 in accuracy. He emphasizes challenges in evaluation, model complexities, and tailored prompts' importance.
Coding with Llama 3.1, New DeepSeek Coder and Mistral Large
Five new AI models for code editing have been released, with Claude 3.5 Sonnet leading at 77%. DeepSeek Coder V2 0724 excels in SEARCH/REPLACE operations, outperforming others.