artificial
artificial

Will AI really take over the world one day or is it juts a phase?

Do you think AI will really take over the world, or is it just a phase? We saw the same thing happening the 20th century when people imagined there would be flying cars just because it was trend back then. submitted by /u/redblade678 [l…

What’s the most weird output you’ve got on an LLM?

Title submitted by /u/redblade678 [link] [comments]

The Bias Conundrum: Are LLMs Playing Favorites

Let's talk about the elephant in the room: bias. Critics argue that LLMs, despite their sophistication, can perpetuate and even amplify existing biases present in their training data. Are these models inadvertently favoring certain groups, and how …

ASI really possible?

Will ASI really be possible? beacuse it seems to me that they are just fancy word predictors, and to really achieve ASI we need to make more breakthroughs in AI. submitted by /u/redblade678 [link] [comments]

Forget "Prompt Engineering" – there are better and easier ways to accomplish tasks with ChatGPT

This is a follow up to this text ( https://laibyrinth.blogspot.com/2023/11/chatgpt-is-much-easier-to-use-than-most.html ), that aims to go more in-depth. and explain further details. When news about ChatGPT spread around the world, I was, like many peo…

One-Minute Daily AI News 11/15/2023

Adobe is working on a new audio tool designed to break apart different layers of sound within a single recording. The tool is called Project Sound Lift, and it can use AI to separate elements like applause from the sound of someone’s voice.[1] Microso…

Need help for a project to train an Open Source model

Hi All, I have my proprietary data, and want to build a Chatbot on it. I tried using RAG and fine-tuning. But after doing that I understood , those are not the correct ways for my use case , and training is what is required. Can anyone please guide me …

You can predict disease progression by modeling health data in latent space

Many complex diseases like autoimmune disorders have highly variable progression between patients, making them difficult to understand and predict. A new paper shows that visualizing health data in the latent space helps find hidden patterns in clinica…