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Title & Speakers	Event
MLOps London March - Talks on ML Inference and Vector Databases 2024-03-12 · 18:00 📽️ This session will be recorded and uploaded to YouTube within 48 hours after it finishes * MLOps London is back again in March 2024 with talks on production machine learning, Databases, LLMs, DevOps, and Data Science. The plan, not as usual, is to run a virtual-only event this time. AGENDA: ⏱️ 6:00 pm 🎤 How to scale and secure ML inference right alongside your data 🧔🏻 Tobie Morgan Hitchcock -- CEO & Co-Founder of SurrealDB Using traditional ML training and models, learn how the secure and isolated Rust-based SurrealML environment within SurrealDB can help developers and organisations achieve greater efficiency and security with ML inferencing. At the same time, we’ll introduce methods of simplifying machine learning pipelines within organisations, enabling developers to build advanced applications quicker and bring machine learning logic right alongside critical data. ⏱️ 7:00 pm 🎤 Deconstructing Embedding Models** 🧔🏻 Kacper Łukawski -- Developer Advocate at Qdrant We will delve deep into the tokenizer's fundamental role, shedding light on its operations and introducing straightforward techniques to assess whether a particular model is suited to your data based solely on its tokenizer. We will explore the significance of the tokenizer in the fine-tuning process of embedding models and discuss strategic approaches to optimize its effectiveness.	MLOps London March - Talks on ML Inference and Vector Databases

📽️ This session will be recorded and uploaded to YouTube within 48 hours after it finishes *** MLOps London is back again in March 2024 with talks on production machine learning, Databases, LLMs, DevOps, and Data Science. The plan, not as usual, is to run a virtual-only event this time.

AGENDA: ⏱️ 6:00 pm 🎤 How to scale and secure ML inference right alongside your data 🧔🏻 Tobie Morgan Hitchcock -- CEO & Co-Founder of SurrealDB

Using traditional ML training and models, learn how the secure and isolated Rust-based SurrealML environment within SurrealDB can help developers and organisations achieve greater efficiency and security with ML inferencing. At the same time, we’ll introduce methods of simplifying machine learning pipelines within organisations, enabling developers to build advanced applications quicker and bring machine learning logic right alongside critical data.

⏱️ 7:00 pm 🎤 Deconstructing Embedding Models 🧔🏻 Kacper Łukawski -- Developer Advocate at Qdrant

We will delve deep into the tokenizer's fundamental role, shedding light on its operations and introducing straightforward techniques to assess whether a particular model is suited to your data based solely on its tokenizer. We will explore the significance of the tokenizer in the fine-tuning process of embedding models and discuss strategic approaches to optimize its effectiveness.

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