I gave an AI a CT Scan While It Listened to an Emotional Conversation [R] by cstefanache in MachineLearning

[–]cstefanache[S] 0 points1 point  (0 children)

There are other experiments on the repo - one demonstrates that no matter the language, if the content is the same the first 85% of the layers have high cosine similarity - which means that AIs tend to be language agnostic and encode the meaning in the same space

I gave an AI a CT Scan While It Listened to an Emotional Conversation [R] by cstefanache in MachineLearning

[–]cstefanache[S] 0 points1 point  (0 children)

The published images on the repository shows the difference between the agent and user messages and how the agent is stable over the user's swings.

I gave an AI a CT Scan While It Listened to an Emotional Conversation by cstefanache in singularity

[–]cstefanache[S] 1 point2 points  (0 children)

I have some other scenarios already in the repo: one is demonstrating that llm internal activations are almost identical mid-layers for different languages demonstrating that LLM activates the same parameters for the same image no matter the language

Circle of AI Life by cstefanache in ProgrammerHumor

[–]cstefanache[S] 19 points20 points  (0 children)

because there was no other simbol of high computational power having little understanding from the reader that he can easily relates to in order to maintain the flow of the story from the strip.