Red Hat AI ✓

@RedHat_AI · joined 18 May 2018

Accelerating AI innovation with open platforms and community. The future of AI is open.

12 551Followers

2 095Following

2 569Posts total

11KViews on collected posts

Derniers posts

Red Hat AI ✓@RedHat_AI22 Sep

If your agent can act on real systems, with real credentials, over long time horizons, what actually stops it from doing the wrong thing? Not the prompt. The model is probabilistic; your operational controls can't be. @LegareKerrison kicks off AgentOps Unlocked series with the 813 views · 16 likes · 1 reposts · 1 replies Open on X →

Red Hat AI ✓@RedHat_AI22 Sep

Traditional monitoring tells you an API responded successfully in five seconds. It can't tell you your agent called the wrong tool, or fed the model the wrong context. @LegareKerrison breaks down AI observability with @MLflow: tracing, LLM-judge evaluation, and OpenTelemetry for 1.1K views · 21 likes · 3 reposts · 0 replies Open on X →

Red Hat AI ✓@RedHat_AI21 Sep

Agents are easy to prototype. Hard to put into production. And as they multiply, so does everything you have to secure, govern, and pay for. Red Hat AI Elevate is a 3-hour virtual showcase unveiling Red Hat AI 3.6. Secure agent execution, models-as-a-service with per-tenant 657 views · 13 likes · 1 reposts · 0 replies Open on X →

Red Hat AI ✓@RedHat_AI21 Sep

@RedHat_AI @MLflow Observability🪄 26 views · 1 likes · 0 reposts · 0 replies Open on X →

Red Hat AI ✓@RedHat_AI21 Sep

Watch @MLflow capture a full trace of one agent request: the chain-of-thought reasoning, every tool call, the timing of each span, on the OpenShift AI dashboard. Here's @LegareKerrison on seeing what your agent actually did, not just what it answered: https://t.co/SQDAKdXTjR 1.5K views · 11 likes · 0 reposts · 1 replies Open on X →

Red Hat AI ✓@RedHat_AI16 Sep

@RedHat_AI @vllm_project Let’s go 🤯🎉🫡 Took a week to create visualizations on how @vllm_project works and included code samples (and more) to show how easy it is to get started running your own LLMs. Perfect for anyone new to the project/wants to self-host their own 🤖 89 views · 5 likes · 0 reposts · 0 replies Open on X →

Red Hat AI ✓@RedHat_AI16 Sep

@vllm_project To go deeper: vLLM docs → https://t.co/Kgq1PYXW4x Ready-made quantized checkpoints → https://t.co/QRkOChCN1J Questions on any of it? @cedricclyburn built the walkthrough and is active here, so ask away. 326 views · 6 likes · 0 reposts · 0 replies Open on X →

Red Hat AI ✓@RedHat_AI16 Sep

Everything you need to start self-hosting an open LLM. Run it on your own hardware. No API keys. No per-token bill. Nothing leaves your machine. The full path with @vllm_project: batch inference in Python, an OpenAI-compatible API server in one command, and quantized models htt

10:55

6.4K views · 122 likes · 24 reposts · 19 replies Open on X →

Face aux comptes de taille comparable

8 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé bien au-delà de son propre public, et ce public réagit.

Vues médianes735ce compte924médiane pour 10K–100K

Portée, %5.86%ce compte3.62%médiane pour 10K–100K

Engagement, %2.17%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	735	924	0.80×
Portée (vues ÷ abonnés)	5.86%	3.62%	1.62×
Taux d'engagement	2.17%	1.52%	1.43×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

6.4K16 Sep

326

1.5K21 Sep

657

1.1K22 Sep

813

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.61%16 Sep

1.84%

5.62%

0.81%21 Sep

3.85%

2.13%

2.11%22 Sep

2.21%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes55.2%195 in total

Reposts8.2%29 in total

Replies5.9%21 in total

Quotes0.8%3 in total

Bookmarks29.7%105 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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