mozilla.ai

AI is useful. Until you have to connect it to real work.

On June 8 at 2PM BST, Caroline Bohu, Solutions Engineer at @MozillaAI, will walk through how Octonous helps AI agents work across your existing tools and workflows.

See Octonous in action: link.mozilla.ai/octonous-june2…

Meet transcribe.cpp 🎙️
A new open-source C/C++ speech-to-text inference library with:
⚡ GPU acceleration (Metal, Vulkan & CUDA)
🧩 Support for multiple GGUF STT models
💻 Fast, portable local transcription

Think "llama.cpp for speech".

👀 Read the article: blog.mozilla.ai/announcing-tra…

Product work shouldn't mean juggling dozens of tabs.

See how we use Octonous at @MozillaAI to turn Slack feedback into GitHub issues, summarize PRs, and search across connected tools, all while staying in control.

👀 Read the full article: blog.mozilla.ai/using-octonous…

Image classification is now available in encoderfile 📸

Deploy image classification models with the same zero-dependency approach used for text encoders.
This release includes:
- Image classification via CLI, HTTP/S, and gRPC
- Flexible preprocessing with Lua scripts

Object detection and image segmentation are next.

👀 Read the full post and let us know what you'd like to see next: blog.mozilla.ai/image-classifi…

#OpenSource #AI #ComputerVision

What is an LLM Control Plane, and why does it matter for modern AI teams?

In our latest blog post, Anushri Gupta (Founder, DevRel at Mozilla.ai) breaks down the challenges of running LLMs in production and explains how a control plane goes beyond gateways to deliver the observability, governance, and reliability that today’s AI infrastructure demands.

Whether you’re building with LLMs now or planning for the future, this piece is a must-read.

Read the full article: blog.mozilla.ai/what-is-an-llm…
#AI #LLM #MLOps #AIInfrastructure #MozillaAI #otari-ai