Browsing: framework

Tencent has released AngelSpec, an open-source, torch-native training framework for speculative-decoding draft models. The release covers both autoregressive multi-token prediction (MTP)…

“> Unsloth: kernel-level gains on a single GPU Unsloth’s published benchmarks show 2x training speed for Llama 3.1 8B and Llama 3.3 70B. The setup used…

Hayden Bleasel, an expert developer from OpenAI, released Blume, an open-source documentation framework. Blume shipped to npm as version 1.0.3 the same day. It is as…

Traditional robot programming is hard to scale. It requires orchestrating multimodal perception, physical contact dynamics, diverse configurations, and execution failures by hand. Code-as-policy systems let language…

DeepSeek released DSpark, a speculative decoding framework, with open-source checkpoints and training code. It is a serving optimization, not a new model. The checkpoints DeepSeek-V4-Pro-DSpark and…

Vercel has released eve, an open-source framework for building, running, and scaling agents. The project is published as the npm package eve, licensed under Apache-2.0. Building…

an LLM application. Ok, the first thought that comes to your mind is: let’s build a powerful agent! But immediately you ask yourself: which agent framework…

Researchers at Stanford University and Lambda Labs, have published the research paper for OpenJarvis, an open-source framework that runs inference, agents, memory, and learning entirely on-device.…

Like a Noisy Sensor. It Changed Which Autonomous-Driving Evaluator I Would Ship. There is a particular kind of result that looks impressive until you ask the…

Researchers from Sakana AI and the University of Tokyo propose DiffusionBlocks. It trains transformer-based networks one block at a time. Training memory is reduced by a…