Nicolay Gerold

CatBoost has better generalisation capabilities due to fundamentally better and much more clever design. By utilising ideas such as Ordered Target Statistics from online learning, CatBoost considers datasets sequential in time.It then permutes them to reduce potential leakage called Prediction Shift, inherent in the traditional Gradient Boosting... See more

Go to a few weird, niche conferences a year outside of your expertise.

Ensuring availability during peak traffic by maintaining all GPU instance types could lead to prohibitively high costs. To avoid the financial strain of idle instances, we implemented a “standby instances” mechanism. Rather than preparing for the maximum potential load, we maintained a calculated number of standby instances that match the... See more

The RAPHE releases seratonin in different places in the brain. It biases us to stay in the heat and now and think about what we have. Dopamine makes us think about thinks we don’t have. Dopamine and seratonin should be in balance.

DeepSeek Coder comprises a series of code language models trained from scratch on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on repo-level code corpus by employing a window size of 16K... See more

If you have to be correct and you’ve got a very long and fat tail of use cases, either you do all of the work technically or you hire people. Often, we hire people. That’s a variable cost. Second, because the tails of the solutions tend to be so long—think something like self-driving where there are so many exceptions that could possibly happen—the... See more

To make life for developers easier, be explicit in what exactly is being returned. In the Stripe API, we have an object field in the response that makes it abundantly clear what we’re working with. For example, the API route

/v1/customers/:customer/payment_methods/:payment_method

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returns a PaymentMethod... See more

Large Language Model State Machine (llmstatemachine)

Introduction

llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.

• Chat History as Memory : Leverages large context window models, making chat history the primary source of agent memory.


• Custom Python Functions with JSON Generation : Allows the

... See more