Scale AI has proposed a new method called PlanSearch to enhance the diversity and efficiency of large language model (LLM) code generation. This novel search algorithm significantly improves the performance of Claude 3.5, achieving a pass@200 of 77.0% on LiveCodeBench, compared to a pass@1 of 41.4% without search. The method aims to address the challenges of scaling inference capabilities for optimal performance in LLMs. PlanSearch is a state-of-the-art (SOTA) test-time compute method. This development is part of broader efforts to improve LLMs, which are reshaping interactions with technology through applications such as AI-powered chatbots and complex language understanding tasks.
Check the results here, @ArtificialAnlys rates ChatGPT Plus as currently the overall best AI chatbot, stating: "ChatGPT Plus presents the best mix of model intelligence and chatbot features. With access to GPT-4o and the widest range of features from web search to image… https://t.co/y0AhyY4Rcw
🦉Tested LLMs for structured output! 🔍 Results: - OpenAI GPT shines with Pydantic support. - Anthropic Claude needs prompt tricks. - Google Gemini lags behind with complex APIs. 🔑 Structured outputs are key for reliable downstream operations! Full breakdown here:… https://t.co/pOwoPovxym
ChatGPT plus wins the Most Comprehensive Chatbot Comparison by @ArtificialAnlys ✅ best mix of model intelligence and chatbot features ✅ web search to image generation to data analysis OpenAI mafia winning the game! https://t.co/1h3JSSHP9f