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

Hugging Face

Score: 35.19Confidence: 48%

Direct Preference Optimization Beyond Chatbots

Hugging Face

Score: 35.18Confidence: 48%

Adding MCP Tools to Reachy Mini

Hugging Face

Score: 35.16Confidence: 48%

Holo3.1: Fast & Local Computer Use Agents

Hugging Face

Score: 35.15Confidence: 48%

Use OpenTelemetry-native observability with Datadog from ingestion to investigation

Datadog

Learn how you can use vendor-neutral telemetry while preserving Datadog’s infrastructure and APM experiences.

Score: 35.13Confidence: 44%

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

Hugging Face

Score: 35.12Confidence: 48%

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

Hugging Face

Score: 35.12Confidence: 48%

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

Hugging Face

Score: 35.01Confidence: 48%

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

Hugging Face

Score: 34.96Confidence: 48%

Reachy Mini goes fully local

Hugging Face

Score: 34.96Confidence: 48%

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

Hugging Face

Score: 34.91Confidence: 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: 34.86Confidence: 44%