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News
Meet Harness-1: A 20B Retrieval Subagent Trained With Reinforcement Learning Inside a Stateful Search Harness on gpt-oss-20b
3+ mon, 5+ day ago (671+ words) Harness-1 reaches 0.730 average curated recall across eight benchmarks, trailing only Opus-4.6 among the searchers tested. Their answer is Harness-1, a 20B retrieval subagent built on gpt-oss-20b. It was trained with reinforcement learning inside a stateful search harness. The harness holds the…...
How to Build an End-to-End Production Grade Machine Learning Pipeline with ZenML, Including Custom Materializers, Metadata Tracking, and Hyperparameter Optimization
4+ mon, 1+ week ago (555+ words) In this tutorial, we walk through an end-to-end implementation of an advanced machine learning pipeline using ZenML. We begin by setting up the environment and initializing a ZenML project, then define a custom materializer that enables seamless serialization and metadata…...
How TabPFN Leverages In-Context Learning to Achieve Superior Accuracy on Tabular Datasets Compared to Random Forest and CatBoost
4+ mon, 3+ week ago (214+ words) We then split the data into training (80%) and testing (20%) sets to evaluate model performance on unseen data. Using a synthetic dataset allows us to have full control over the data characteristics while ensuring a fair and reproducible comparison between TabPFN…...
Hugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows
5+ mon, 1+ week ago (223+ words) In the early stages of the LLM boom, post-training was often treated as an experimental ‘dark art.’ TRL v1.0 aims to change that by providing a consistent developer experience built on three core pillars: a dedicated Command Line Interface (CLI), a…...
Meet SymTorch: A PyTorch Library that Translates Deep Learning Models into Human-Readable Equations
6+ mon, 1+ week ago (223+ words) SymTorch simplifies the engineering required to extract symbolic equations from trained models by automating data movement and hook management. The library interfaces with PySR, which uses a multi-population genetic algorithm to find equations that balance accuracy and complexity on a…...
A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
6+ mon, 3+ week ago (207+ words) We set up the execution environment and import all required libraries for building a stateful agent. We also define core paths and utility functions for time handling and database connections. It establishes the foundational infrastructure that the rest of the…...
Kyutai Releases Hibiki-Zero: A3B Parameter Simultaneous Speech-to-Speech Translation Model Using GRPO Reinforcement Learning Without Any Word-Level Aligned Data
6+ mon, 3+ week ago (254+ words) Traditional approaches rely on supervised training with word-level alignments. These alignments are difficult to collect at scale. Developers usually depend on synthetic alignments and language-specific heuristics. Hibiki-Zero removes this complexity by using a novel reinforcement learning (RL) strategy to optimize…...
How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples
7+ mon, 2+ day ago (229+ words) We set up the execution environment and ensure all required dependencies are installed dynamically. We initialize PyTorch, einops, and utility helpers that standardize device selection and shape inspection. We also establish reusable printing utilities that help us track tensor shapes…...
A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data
7+ mon, 1+ week ago (268+ words) We set up the environment by installing dependencies, importing libraries, and fixing random seeds for reproducibility. We detect and configure the computation device to ensure consistent execution across systems. We also define a utility to create configuration objects safely across…...
How Tree-KG Enables Hierarchical Knowledge Graphs for Contextual Navigation and Explainable Multi-Hop Reasoning Beyond Traditional RAG
7+ mon, 2+ week ago (623+ words) In this tutorial, we implement Tree-KG, an advanced hierarchical knowledge graph system that goes beyond traditional retrieval-augmented generation by combining semantic embeddings with explicit graph structure. We show how we can organize knowledge in a tree-like hierarchy that mirrors how…...