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Many GRPO reproductions for LLM reinforcement learning available online lack useful intuitions or recommendations regarding hyperparameters and reward shapi...

A beginner-friendly introduction to stochastic calculus, focusing on intuition and calculus-based derivations instead of heavy probability theory formalism.

Article URL: https://thovs.com/peer-to-peer-ai-auditing-designing-self-improving-human-centric-ai-agents-through-ai-evaluators/ Comments URL: https://news.ycombinator.com/item?id=43068753 Points: 1 # Comments: 0

State polls are showing not just an astonishingly tight 2024 race, but also an improbably tight race, missing some of the randomness inherent in polling that should be generating more varied and less clustered results.

A new study finds that Americans have adopted generative AI faster than personal computers and the internet. Does this mean we're about to see a long-awaited increase in productivity growth?

Article URL: https://tommyc.xyz/posts/simple-diffusion Comments URL: https://news.ycombinator.com/item?id=41414827 Points: 1 # Comments: 0

Article URL: https://two-wrongs.com/student-bootstrapped-t-distribution.html Comments URL: https://news.ycombinator.com/item?id=41107056 Points: 2 # Comments: 0

Researchers are striving to reverse-engineer artificial intelligence and scan the "brains" of LLMs to deduce the how any why of that they are doing

Contrary to previous research suggesting internet use can have a deleterious effect on mental health, a new study of over 2 million individuals showed it can enhance well-being.

Data-driven artificial intelligence, such as deep learning and reinforcement learning, possesses powerful data analysis capabilities. These techniques enable the statistical and probabilistic analysis of data, facilitating the mapping of relationships between inputs and outputs without reliance on predetermined physical assumptions.

But there are gaps between what customers actually experience and how they feel.

Article URL: https://en.wikipedia.org/wiki/Thompson_sampling Comments URL: https://news.ycombinator.com/item?id=39239011 Points: 1 # Comments: 0

Contribute to Dicklesworthstone/fast_vector_similarity development by creating an account on GitHub.

Explaining Process Supervision training of Large Language Models(LLMs for short) from OpenAI to improve with hallucinations for ChatGPT like models.

Article URL: https://languagelog.ldc.upenn.edu/nll/?p=59521 Comments URL: https://news.ycombinator.com/item?id=36607651 Points: 2 # Comments: 0

Deep neural network classifiers have been shown to be mis-calibrated [1], i.e., their prediction probabilities are not reliable confidence estimates. For example, if a neural network classifies an…

Researchers have developed a new text-to-image model called GigaGAN that can generate 4K images at 3.66 seconds. This is a major improvement over existing text-to-image models, which can take minutes or even hours to generate a single image. GigaGAN is based on the GAN (generative adversarial network) framework, which is a type of neural network that can learn to generate data that is similar to a training…

A conceptual overview for anyone

Instruction tuning of language models has demonstrated the ability to enhance model generalization to unseen tasks via in-context learning using a few examples. However, typical supervised learning still requires a plethora of downstream training data for finetuning. Often in real-world situations, there is a scarcity of data available for finetuning, falling somewhere between few shot inference and fully…

In a meeting with some moderators last week, I committed to releasing the data sets from our initial studies around the efficacy and false positive rates of ChatGPT detectors to them. Tuesday after...