Andrej Karpathy has open-sourced nanochat, a compact, dependency-light codebase that implements a full ChatGPT-style stack—from tokenizer training to web UI […]
Category: Staff
A Coding Implementation of Advanced PyTest to Build Customized and Automated Testing with Plugins, Fixtures, and JSON Reporting
In this tutorial, we explore the advanced capabilities of PyTest, one of the most powerful testing frameworks in Python. We […]
NVIDIA Researchers Propose Reinforcement Learning Pretraining (RLP): Reinforcement as a Pretraining Objective for Building Reasoning During Pretraining
NVIDIA AI has introduced Reinforcement Learning Pretraining (RLP), a training objective that injects reinforcement learning into the pretraining stage rather […]
7 LLM Generation Parameters—What They Do and How to Tune Them?
Tuning LLM outputs is largely a decoding problem: you shape the model’s next-token distribution with a handful of sampling controls—max […]
ServiceNow AI Research Releases DRBench, a Realistic Enterprise Deep-Research Benchmark
ServiceNow Research has released DRBench, a benchmark and runnable environment to evaluate “deep research” agents on open-ended enterprise tasks that […]
Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends
In this tutorial, we explore Ivy’s remarkable ability to unify machine learning development across frameworks. We begin by writing a […]
Meta’s ARE + Gaia2 Set a New Bar for AI Agent Evaluation under Asynchronous, Event-Driven Conditions
Meta AI has introduced Agents Research Environments (ARE), a modular simulation stack for creating and running agent tasks, and Gaia2, […]
Microsoft AI Debuts MAI-Image-1: An In-House Text-to-Image Model that Enters LMArena’s Top-10
Microsoft AI introduced MAI-Image-1, its first image generation model developed entirely in-house at Microsoft. The model has debuted in the […]
How to Evaluate Your RAG Pipeline with Synthetic Data?
Evaluating LLM applications, particularly those using RAG (Retrieval-Augmented Generation), is crucial but often neglected. Without proper evaluation, it’s almost impossible […]
SwiReasoning: Entropy-Driven Alternation of Latent and Explicit Chain-of-Thought for Reasoning LLMs
SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent space and when to […]