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Fonte

together.ai

13articoli totali nell'archivio

together.ai
AITech

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding

IntroductionWe introduce Sequoia, a scalable, robust, and hardware-aware speculative decoding framework that improves LLM…

together.ai·6 h fa
together.ai
AITechscience

TEAL: Training-Free Activation Sparsity in Large Language Models

We present TEAL (Training-Free Activation Sparsity in LLMs), a simple training-free approach to activation sparsity that applies…

together.ai·6 h fa
together.ai

Deploy and inference any model from HuggingFace

Learn how to deploy any Hugging Face model in one session using Goose and Together's Dedicated Container Inference. Skip the…

together.ai·6 h fa
together.ai
AICryptoTech

From 732 bytes to nowhere: shutting down Copy Fail in production

SummaryWe were able to get ahead of Copy Fail (CVE‑2026‑31431) by treating it as a fleet‑level emergency, shutting off the…

together.ai·6 h fa
together.ai
AIscience

CoderForge-Preview: SOTA open dataset for training efficient coding agents

As coding agents become increasingly capable, the research community faces a critical bottleneck: the lack of large-scale,…

together.ai·6 h fa
together.ai
AITechscience

HELM: benchmarking large language models on the Together Research Computer

Together’s software network harnessed spare GPU cycles across thousands of servers to benchmark 10 prominent open language models…

together.ai·6 h fa
together.ai
science

From Zero to One: Building An Autonomous and Open Data Scientist Agent from…

Build a data scientist agent using Together’s open-source models and Code Interpreter—easy to implement, solid benchmarks, and…

together.ai·6 h fa
together.ai
AITechscience

Fine-Tuning LLMs for Multi-Turn Conversations: A Technical Deep Dive

Large Language Models (LLMs) have revolutionized how we interact with and build conversational AI systems. While these models…

together.ai·6 h fa
together.ai
AITechscience

Long Context Fine-Tuning: A Technical Deep Dive

The landscape of Large Language Models (LLMs) is rapidly evolving, with context lengths expanding from a few thousand tokens a…

together.ai·6 h fa