MLOps London July 2024 - Talks on Vector Databases, LLMs, and Python Packaging

Livestream (Zoom): https://us02web.zoom.us/j/87027601120?pwd=cLtUUlDoNCYSiVqW2ywI5XqWZmAFWj.1
In Person Form: https://forms.gle/jAzzhJcsX62kUNtw6
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MLOps London is back again in July 2024 with talks on vector databases, LLMs, and Python Packaging. The plan, as usual, is to run another hybrid event so please come along in person if you're local or need an excuse to travel to London, or join us live otherwise.

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Don't forget to fill out the form above if you are coming to the in-person event. The venue needs the list of attendees to let you in.
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AGENDA:
⏱️ 6:00 pm onwards - Arrival, drinks, food, and networking
⏱️ 6:30 pm - Kick off and welcome
⏱️ 6:35 pm
The Evolutionary Saga of Python Packaging
Quazi Nafiul Islam - Developer Advocate at Sonar
Join us on a journey through the evolution of Python packaging, where we'll untangle the web of tools and formats that have shaped Python development. From the humble beginnings of Eggs to the sophisticated elegance of Poetry, this talk is a tribute to the ingenuity of the Python community. Along the way, we'll nod to Conda's cameo, recognising its unique contribution to making scientific packages more accessible. This story is for anyone who's ever wondered about the magic behind pip install and why packaging is so hard to get right in the Python world.

⏱️ 7:15 pm - Drinks, food, and networking

⏱️ 7:30 pm
Let’s build a vector search application with Python and Elasticsearch
Miguel Grinberg - Principal Software Engineer at Elastic
In this presentation Miguel is going to live code a complete vector search application with Elasticsearch and the Python Elasticsearch-DSL client.

⏱️ 8:15 pm - Break

⏱️ 8:25 pm
What Nobody Tells You About Building LLM Products
Ed Shee - AI Engineer & Founder @ Ignitus
Curious about building awesome apps with Large Language Models (LLMs)? Come join Ed as he shares everything he wishes he knew before he got started. This talk is packed with real-world insights, including:

• Clever techniques for Retrieval-Augmented Generation (RAG)
• Crafting prompts that actually work
• Keeping LLMs on track and under control
• Ensuring your text outputs are top-notch
• Building smart and efficient agents

Plus, Ed will give you a look into the future of LLM apps and what to expect next. Whether you're new to the game or a seasoned developer, you'll leave with practical tips and fresh ideas to power up your projects.

⏱️ 9:00 pm - Wrap Up, aka Adios 👋 :)

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If you are attending in person please complete the registration form (link at the top of this description).
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