TLDRocket
Sign in
Latest We're going to need default hard budget caps on pretty much everything — Simon Willison’s Weblog The Agent Said It Was Done. The Database Disagreed. — Hugging Face September sponsors-only newsletter — Simon Willison’s Weblog 9 insights from ‘Private Tech Trailblazers’: Vertical AI becomes the g... — SiliconANGLE OpenAI safety employee resigns, claiming the company’s ‘culture is bro... — TechCrunch Aleph Alpha’s Sovereign A.I. Model Kolibri Is No Match for the Open-We... — Trending Topics AI is speeding up exploits. Vulnerability spreadsheets can’t keep up. — The New Stack All the AI agents that can live in your text messages — TechCrunch

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Tuesday, 28 January 2025

Qwen2.5-Max: Exploring the Intelligence of Large-scale MoE Model

GitHub Pages 1 year ago 7 ● 3 sources

Alibaba released Qwen2.5-Max, a Mixture-of-Expert language model pretrained on over 20 trillion tokens, which is now available through Alibaba Cloud's API and Qwen Chat. The model outperformed DeepSeek V3 on Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond benchmarks while achieving competitive results on MMLU-Pro. The API is accessible through Alibaba Cloud with OpenAI-compatible endpoints for developers to integrate the model into applications.

Open-R1: a fully open reproduction of DeepSeek-R1

Hugging Face 1 year ago 25

A research team launched Open-R1 to reproduce DeepSeek-R1's training methods after DeepSeek released a reasoning model that matched OpenAI's o1 performance but kept the training code and datasets proprietary. The project will systematically reconstruct the data pipeline and reinforcement learning approach across three steps, starting with distilling datasets from DeepSeek-R1 and progressing to pure RL training on math, code, and reasoning tasks. This open-source reproduction aims to let any researcher fine-tune existing language models into reasoning models using the shared datasets and training recipes.

Welcome to Inference Providers on the Hub 🔥

Hugging Face 1 year ago 28

Hugging Face integrated four serverless inference providers—fal, Replicate, SambaNova, and Together AI—directly into its Hub platform and client SDKs to offer unified access to model inference. PRO users receive $2 monthly in inference credits that work across all providers, with no markup added to standard provider API rates. Users can now run models like DeepSeek-R1 through their preferred provider using either their own API keys or Hugging Face's routing service, with configuration available through the website, Python, JavaScript, or HTTP calls.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.