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Designing the hf CLI as an agent-optimized way to work with the Hub

Hugging Face

Score: 35.24Confidence: 48%

Direct Preference Optimization Beyond Chatbots

Hugging Face

Score: 35.22Confidence: 48%

Adding MCP Tools to Reachy Mini

Hugging Face

Score: 35.21Confidence: 48%

Holo3.1: Fast & Local Computer Use Agents

Hugging Face

Score: 35.19Confidence: 48%

Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

Hugging Face

Score: 35.16Confidence: 48%

Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains

Hugging Face

Score: 35.16Confidence: 48%

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

Hugging Face

Score: 35.05Confidence: 48%

Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL

Hugging Face

Score: 35Confidence: 48%

Reachy Mini goes fully local

Hugging Face

Score: 35Confidence: 48%

How we brought agentic workflows to Cloud SIEM with the Datadog MCP Server

Datadog

See how we built MCP tools for Cloud SIEM, using usage data, progressive disclosure, and a custom eval framework to keep a multi-team agentic toolset reliable.

Score: 34.99Confidence: 44%

Answer any cost question faster with the Cloud Cost skill in Bits Chat

Datadog

Use the Cloud Cost skill in Bits Chat to investigate cost anomalies, perform root cause analysis on cost spikes, and get personalized savings.

Score: 34.99Confidence: 44%

Harness, Scaffold, and the AI Agent Terms Worth Getting Right

Hugging Face

Score: 34.94Confidence: 48%