6/ Finally GPT-4 has human-level performance on some key academic benchmarks Uniform bar exam: ChatGPT scored in the 10th percentile
GPT-4 scored in the 90th percentile Biology Olympiad: ChatGPT scored in 31st percentile
GPT-4 scored in 99th percentile
LLMS
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GPT-4 Achieves Human-Level Performance on Academic Benchmarks
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GPT-4 Surpasses ChatGPT in Reasoning Capabilities
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5/ Reasoning GPT-4 Surpasses ChatGPT is answering reasoning-type of questions in a much better way. Check out one such example and comparison between ChatGPT and GPT4 below:
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GPT-4’s 25,000-Word Processing Capacity and Applications
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4/ GPT-4 is capable of handling over 25,000 words of text:
— Sumanth (@Sumanth_077) 15 mars 2023
This is really great for use cases like long-form content creation, extended conversations, and document search and analysis.
The below example shows how GPT4 took a wiki article, summarized, analyzed, and responsed. pic.twitter.com/LFjxja4V534/ GPT-4 is capable of handling over 25,000 words of text: This is really great for use cases like long-form content creation, extended conversations, and document search and analysis. The below example shows how GPT4 took a wiki article, summarized, analyzed, and responsed.
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GPT-4’s Enhanced Creative Writing and Editing Capabilities
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GPT-4 is more creative. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style. Check out the below example:
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GPT-4 Multimodal Capabilities: Image Input and Recipe Generation
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Now let's get into the details. GPT-4 is multimodal and it now accepts the images as inputs and generates captions, classifications, and analyses. Below is one such example of giving an input image of ingredients and asking GPT-4 to generate a list of recipes.
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GPT-4 Release: Next Generation Functionalities Explained
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Open AI finally released the much-awaited GPT-4 We have seen ChatGPT but the functionalities of GPT-4 are just next well. Here's everything you need to know:
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Shifting expectations: from yearly UI updates to instant AI processing
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overhead this today:
"it might take a long time to run 32k context-length LLMs locally on your M1 … like a year at least" lmao like 5 years ago I waited a year just for apple to ship a new UI in the notes app and I was pumped massive shift in our frame of reference -
Twitter’s Future and AI-Generated Tweet Quality Experiment
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honest question, how long do we think twitter will be usable for in its current form ran a little experiment earlier today and copy pasted like 10 of @tszzl most liked tweets into gpt4 and asked it to generate tweets in a similar style and some of them were pretty damn good
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Tweet generator collaboration without extensive fine-tuning required
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worked close to as well as @ctjlewis tweet generator without needing hours of finetuning
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LLMs as Distillation of Human Understanding
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LLMs are a distillation of human understanding across all of humanity. I like this analogy.