'GPT-4 capabilities' 검색 분석 결과

@matthewberman_ai conducted a test of GPT-4's mini vision capabilities. In his test, GPT-4 mini used 48,372 tokens, whereas GPT-4o used 1,600 tokens.

GPT-2 could autocomplete paragraphs, 3.5 could answer user questions, GPT-4 could be logically cohesive, GPT-4o could be the same but faster and cheaper. Now with o1 and o3 we have models that have reasoning capabilities able to answer PhD level questions with extreme accuracy. They utilise reinforcement learning meaning they’ve distilled the internet and train the models on chains of thought that lead to a correct answer. This happened in 6 years and you don’t think AI is coming for your job?

Cohere launched Command A, a 111B model with a 256k context window, positioned to compete with GPT-4o and DeepSeek-V3 for agentic enterprise tasks. Command A is praised for its performance, multilingual capabilities, and efficient deployment on just two GPUs. It also boasts a significantly higher inference rate than GPT-4o.

I'd settle for a return to the original GPT-4 level attention density and instruction following capabilities, honestly. 🤣

How Many AI Startups Got Crushed by GPT-4? 🚧 The rise of GPT-4 didn’t just advance AI—it steamrolled entire industries. Here’s who took the hit: ☠ Notetaking apps ☠ Translation tools ☠ Writing assistants ☠ Image generators With its immense capabilities, GPT-4 redefined these categories overnight. Startups couldn’t keep up. Now, with GPT-5 on the horizon, the real question is: Who’s next? 🤔