ChatGPT can now search the internet to answer prompts

Grok was designed to be witty and have a rebellious streak.

This was the result of a study by a group of engineers from the Swiss Federal Institute of Technology Lausanne (EPFL).the design space can be characterized and explored… we demonstrate how developing these models can be used to accelerate real-world robotic optimization of a design—to identify wing shapes that fly a given distance.

See Also Paper planes aren’t just a child’s toy; we can learn a lot about aerial vehicle design by modelling & optimizing their unique & unpredictable flight behavior.when they decided to build a robotic arm that could fly paper planes to test the trajectory of these flying objects To incorporate this “self-correction” in language models without the need to prompt them.

 The work begs the question of whether this “self-correction” could and should be built into language models from the beginning.The third examined the impact of race on the likelihood that a prospective candidate would be accepted to a law school if a language model were used to make the selection.

We believe our re- sults are cause for cautious optimism regarding the ability to train language models to abide by ethical principles.

particularly in those that had completed enough rounds of RLHF and had more than 22 billion parameters (the variables in an AI system that are adjusted during training).which is the amount of data samples the model works on at each pass.

a not particularly large 7-billion-parameter neural net.The researchers also used Video Instruct-100K.

UC BerkeleyWe adopt a training approach […] where our model is trained on progressively longer sequence lengths.LWM is the product of a different kind of approach to the problem of how to develop a neural network.