Nicolay Gerold

The timing of adrenaline release should be 5-15 minutes after the learning. You should try to reduce your amplitude. Most successful people are able to keep their activities, dopamine, training, learning within a certain range and never crash or fly outside of it.

react-window

React components for efficiently rendering large lists and tabular data

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React window works by only rendering part of a large data set (just enough to fill the viewport). This helps address some common performance bottlenecks:

1. It reduces the amount of work (and time)

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Model description

Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.

The model was trained on over 1,000,000 entries of primarily GPT-4 generated data, as well as other high quality data from open datasets across the AI landscape, achieving state of the art performance on a variety of tasks.... See more

The best vertical AI solutions will be like a functional worker who is also a team player: expert in their core task (summarization, for instance), but also diligent in updating the horizontal systems of record that the broader organization relies on

Developers can now generate human-quality speech from text via the text-to-speech API. Our new TTS model offers six preset voices to choose from and two model variants, tts-1 and tts-1-hd . tts is optimized for real-time use cases and tts-1-hd is optimized for quality. Pricing starts at $0.015 per input 1,000 characters. Check out our TTS guide to... See more

When you eat something sweet, neurons in the stomach sense the sweetness and cause the release of dopamine in the brain making you crave sugar.

Qwen-14B is the 14B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-14B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-14B, we release Qwen-14B-Chat, a... See more

Giskard is a Python library that automatically detects vulnerabilities of AI models, from tabular models to LLM, including: performance biases, data leakage, spurious correlation, hallucination, toxicity, security issues and many more.

It's a powerful tool that helps data scientists save time and effort drilling down on model issues, and produce... See more

they could try “switching to a different model, augmenting the training data in some way, collecting more or different kinds of data, post-processing outputs, changing the objective function, or something else.” Our interviewees recommended focusing on experiments that provided additional context to the model, typically via new features, to get the... See more