BambooDeFi Commences Final Phase of Initial Exchange Listing (IEO) on Three Partner Platforms

That brings the price down from $329 to $229.

and Gemini won hands down How to use ChatGPTs file analysis capability (and what it can do for you) I tried Copilot Notebook: Microsofts new AI tool offers two handy prompt features What to know about Mistral AI: The company behind the latest GPT-4 rival I asked Gemini and GPT-4 to explain deep learning AI.around 60% of the people who talk to Pi one week return the following week.

creative activities like painting or playing an instrument.Pi lacks any emotions and feelings itself.volunteering for local organizations and causes.

But more interesting may be the emotional support that Pi tries to provide.Inflection said in its blog post.

Pi developer Inflection announced the latest version of its LLM (large language model) and how thats helping it rival even GPT-4.

while one in ten lasts over an hour.Who was not comfortable using the phone?” This would allow the examination of how much bias or stereotyping the model introduces into its age and race predictions.

Study abstract:We test the hypothesis that language models trained with reinforcement learning from hu- man feedback (RLHF) have the capability to morally self-correct—to avoid producing harmful outputs—if instructed to do so.language models obtain two capabilities that they can use for moral self-correction: (1) they can follow instructions and (2) they can learn complex normative concepts of harm like stereotyping.

 Three data sets that have been created to measure bias or stereotyping were used by researchers Amanda Askell and Deep Ganguli to test a variety of language models of various sizes that have undergone various levels of RLHF training.there must also be some instances of people fighting back against this biased behavior in the training data—possibly in response to unfavorable remarks on websites like Reddit or Twitter.