Mathematics – Well, this is really where most online betting starts. It seems like every experience you have has its roots in algorithms: odds, odds, ratios, and those clever analytical tools. They are designed...
In this tutorial, we build an advanced agent retrieval augmented generation (RAG) system that goes beyond simple question answering. We designed it to intelligently route queries to the correct knowledge source, perform self-checks to...
Serving large language models often wastes GPU memory because the engine pre-reserves large static KV cache areas for each model, even when requests are bursty or idle. Meet ‘kvcached’‘, a library that provides virtualized,...
Large language models (LLMs) provide several parameters that allow you to fine-tune their behavior and control how they generate responses. If the model does not produce the desired output, the problem usually lies in...
There are some limitations to custom and lookalike audiences related to health and finance that you should be aware of. Here’s what you need to know… limit While looking at Meta’s developer documentation...
In this tutorial, we’ll explore advanced applications of: Stable baseline 3 in reinforcement learning. We designed a fully functional custom trading environment, integrated multiple algorithms such as PPO and A2C, and developed our own...
AI companies use model specifications to define target behaviors during training and evaluation. Does the current specification describe the expected behavior accurately enough, and do cutting-edge models exhibit different behavioral characteristics under the same...
In this tutorial, we build from scratch a high-level computer usage agent that can reason, plan, and execute virtual actions using a local open weight model. We created a miniature simulated desktop, equipped it...
Liquid AI has released LFM2-VL-3B, a 3B parameter visual language model for image-to-text tasks. It extends the LFM2-VL family beyond the 450M and 1.6B variants. The goal of this model is to improve accuracy...
In this tutorial we will explore Special servicea lightweight and powerful serving framework that allows us to deploy machine learning models as APIs with minimal effort. We build and test multiple endpoints to demonstrate...