LLMOps.Space

LLMOps.Space — The Global Community for LLM Practitioners

LLMOps.Space is the global community hub for practitioners deploying, managing, and optimizing large language models (LLMs) in production. It concentrates on content, discussions, and events around real-world LLM deployment, observability, fine-tuning, and performance optimization. The platform provides ongoing opportunities to learn, share, and connect with peers through events, resources, and a collaborative ecosystem.

How It Works

• Community-driven learning: Access, discuss, and contribute practical insights on LLM deployment, orchestration, monitoring, and governance.
• Events and recordings: Explore past and upcoming events featuring talks on fine-tuning pipelines, traceability, observability, vector/keyword search, and production-ready LLM systems. Recordings are shared to extend learning beyond live sessions.
• Resources and products: Discover tools, products, and companies operating in the LLMOps space; stay informed about the latest solutions and best practices.
• Networking & collaboration: Join a like-minded community of practitioners to collaborate, sponsor, and contribute to open discussions.

How to Use LLMOps.Space

1. Explore events and recordings to stay current with industry practices.
2. Join the Discord community to network, ask questions, and participate in discussions.
3. Peruse resources and products to identify tools that fit your deployment needs.
4. Contribute or sponsor to engage with the community and support ongoing efforts.

Community Features

• Global community for LLM practitioners focusing on production deployment, observability, and governance
• Regular events and recorded sessions covering fine-tuning pipelines, traceability, and multi-step LLM systems
• Resources, products, and company showcases tailored to LLMOps needs
• Community discussions, sharing of best practices, and collaboration opportunities
• Sponsorship and contribution options to support the ecosystem
• Accessible via Discord for real-time collaboration and onboarding

Upcoming and Past Events (Examples)

• July 11, 2024 — Building the Fine-Tuning Pipeline for Alignment of LLMs (LLMOps.Space)
• June 13, 2024 — Traceability and Observability in Multi-Step LLM Systems | Langfuse (LLMOps.Space)
• April 30, 2024 — Unifying Vector and Keyword Search for Enhanced LLM Performance (LLMOps.Space)

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