You can see that GPT-4 has no notion of mathematics. Even when it refers to the right theorem (Chinese Remainder Theorem), it does not actually use it to generate the answer.
LLMS
-
Red-teaming GPT-4: Public Transparency Over Corporate Secrecy
By
–
to start, I want to say I have nothing to gain here and I don't condone anyone actually acting upon any of GPT-4's outputs however, I believe red-teaming work is important and shouldn't be conducted in the shadows of AI companies. the general public should know the capabilities
-

Predicting AI Model Capabilities: A Safety Breakthrough
By
–
Easy to miss in the GPT-4 blog post — accurately predicting model capability, using 1,000x less compute than the real run. A critical aspect of AI safety will be predicting when various capabilities will arrive — still nascent but taking a real step in that direction.
-
GPT-4 Python Templates Now Available with API Access
By
–
We’ve created templates that support GPT-4 out of the box. You’ll just need access to an API key to get started. Feel free to try out our GPT-4 Python template here:
-

OpenAI Reduces GPT-4 Usage Limits by Half Due to Popularity
By
–
OpenAI just cut their GPT-4 usage limit in half Previous limit: 100 messages every 4 hours. New limit: 50 messages every 4 hours. Must be popular.
-
Do Chat LLMs Retrain From User Conversations?
By
–
I’m not sure where you learned that chat based LLMs retrain based on conversations with users. Please share source!
-
Token Smuggling: Bypassing GPT-4 Content Filters via Prompt Splitting
By
–
this phenomenon is called token smuggling, we are splitting our adversarial prompt into tokens that GPT-4 doesn't piece together before starting its output this allows us to get past its content filters every time if you split the adversarial prompt correctly
-
GPT-4 Simulating Token Prediction Through Function Calls
By
–
this works by asking GPT-4 to simulate its own abilities to predict the next token we provide GPT-4 with python functions and tell it that one of the functions acts as a language model that predicts the next token we then call the parent function and pass in the starting tokens
-

First ChatGPT-4 Jailbreak Bypassing Content Filters Created
By
–
Well, that was fast… I just helped create the first jailbreak for ChatGPT-4 that gets around the content filters every time credit to @vaibhavk97 for the idea, I just generalized it to make it work on ChatGPT here's GPT-4 writing instructions on how to hack someone's computer
-
Understanding Temperature in Language Models: Likelihood vs. Randomness
By
–
Temperature makes unlikely tokens more likely. Not hard math, but TLDR:
— Riley Goodside (@goodside) 16 mars 2023
temperature = 0 → always pick what the model says is most likely
temperature = 1 → sample from the distribution returned by the model
temperature = ∞ → ignore the model; pick entirely at random pic.twitter.com/dLSpyw0ha9Temperature makes unlikely tokens more likely. Not hard math, but TLDR: temperature = 0 → always pick what the model says is most likely
temperature = 1 → sample from the distribution returned by the model
temperature = ∞ → ignore the model; pick entirely at random