Name: PyData London - 91st Meetup
Start: 2024-12-03T19:00:00.000Z
End: 2024-12-03T21:00:00.000Z
Location: EC4R 3AD

**About this Webinar**
Join us for an insightful session where you’ll learn to deploy applications powered by large language models (LLMs) using serverless technology.
Explore how serverless architecture simplifies application deployment, eliminating the need to manage infrastructure while ensuring scalability and efficiency.
**Key Highlights:**

* Learn to process audio files by combining automatic speech recognition (ASR) with LLMs.
* Build an automated system that detects customer inquiries, transcribes audio, and generates concise summaries using Amazon Bedrock.
* Discover how to enable logging to enhance security and maintain compliance.

**What You'll Gain:**

* Insights into customizing LLM responses with Amazon Bedrock.
* A step-by-step approach to transcribing audio recordings and summarizing them using LLMs.
* Skills to deploy an event-driven workflow for audio summarization with AWS Lambda.
* A hands-on understanding of using models like Amazon Titan and more through Amazon Bedrock.

**Who Should Attend?**
This webinar is ideal for developers familiar with Python and AWS who are eager to explore quick and efficient deployment of LLM applications using Amazon Bedrock.
**Why Join Us?**
Walk away with the expertise to build and deploy your serverless LLM apps in days, harnessing the power of Amazon Bedrock and AWS services.

PyData OMR

karuppaiya

 SENTHIL KUMARAN.M

Indu

Building Serverless LLM Applications with Amazon Bedrock

Online event

**PyDataMCR December Talks**

Continuing with some more great talks we are hosted this month by Krakenflex.

**THE TALKS**

**Beyond Traditional Recommenders: Leveraging Graph Neural Networks for Food Delivery Platforms - [Chris Dambamuromo](https://www.linkedin.com/in/chrisdamba/) (he/him)**

In this talk, Chris will demonstrate how to implement a Graph Neural Network (GNN) based recommendation system for food delivery platforms. Drawing from real-world examples, he'll explore how GNNs can effectively balance the complex dynamics of a three-sided marketplace - customers, restaurants, and delivery partners. The presentation will cover practical aspects of working with limited data, implementing GraphSAGE, and handling multiple optimisation objectives. This independent project represents his exploration of recommendation systems and graph-based machine learning, bringing together his technical expertise and interest in practical AI applications.

Chris is a Data Engineer with over a decade of software development experience, specialising in data engineering and machine learning. With a background in Applied Mathematics and Intelligent Computer Systems, he's passionate about applying advanced AI techniques to solve real-world problems. Currently focusing on recommendation systems and graph-based machine learning, Chris brings practical insights from his experience in both software development and data engineering.

The talk will include code examples and is suitable for data scientists, ML/Data engineers, and anyone interested in practical applications of Graph Neural Networks.

**Building Seamless Pipelines with DBT and Python - [Andy Stafford Hughes](https://www.linkedin.com/in/andrew-stafford-hughes-63b04632/) (he/him)**

I will discuss how we successfully automated testing with DBT and Python in our Data Products team.

Andrew is an Enterprise Data & AI Test Architect with extensive experience in quality assurance across industries like healthcare, gaming, and retail. Currently at AstraZeneca, he is enhancing test automation frameworks for data science and GenAI projects while mentoring teams to improve their automation testing capabilities globally.

**LOCATION**
We'll be at Krakenflex, who are also kindly supplying catering. The capacity is limited to 90.

After the talks we'll all head somewhere local for some post-event socialising.

**EVENT GUIDELINES**
PyDataMCR is a strictly professional event, as such professional behaviour is expected.

PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

**ACCESSIBILITY**
Under 16s welcome with a responsible guardian. There is a quiet room available if needed. Toilets are accessible.

**SPONSORS**
Thank you to NUMFocus for sponsoring Meetup and further support
Thank you to AutoTrader for sponsoring PyDataMCR.
Thank you to Krakenflex for sponsoring PyDataMCR, as well as hosting this event!

PyData Manchester

Grace Wilding

Fiona Pye

John Carney

PyDataMCR December

Krakenflex (13th Floor)

**PyData Global 2024 is a 3-day virtual event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other.**

**During the conference, attendees will have the opportunity to attend live keynote sessions and talks, lightning talks, and get to know fellow members of the PyData Community.**

**The event will be virtually hosted.**

**Schedule: [https://pydata.org/global2024/schedule](https://pydata.org/global2024/schedule)**

**Buy tickets here: [https://pydata.org/global2024/tickets](https://pydata.org/global2024/tickets)**

[https://pydata.org/global2024/](https://pydata.org/global2024/)

PyData NYC

Archita Vasuki

Josh Noauslav

NumFOCUS, Inc.

PyData Global 2024

Hello plant developers and language twisters!

The 24th Prague PyData meetup will take place at **CreativeDock**. As usual, the talks will start at 18:30 but we encourage you to come as soon as **18:00** to enjoy the opportunity to socialise and refresh yourselves (which you can continue doing during the break and after the talks).

Our main goal is to build the community around Python and data and make it welcoming to people of various skills and experience levels.

⚡ If you are interested in giving a lightning talk (up to 5 minutes to present an idea, tool or results related at least to some degree to Python and/or data), please contact us before or during the event.

**📢 Processing problematic plants with python**
**Adam Hruška**
Weed detection techniques are essential in modern precision agriculture, where accurately detecting and identifying species can lead to effective crop yields and sustainable resource use. Python has emerged as a powerful tool in this domain, providing versatile libraries and frameworks for data gathering, processing, and model training. By leveraging Python's capabilities, we can efficiently manage large-scale datasets, preprocess images, and potentially automate the annotation process, streamlining the development of machine learning models for weed detection. The integration of computer vision and machine learning tools, including OpenCV, scikit-image, and TensorFlow, serves as a basis for creation of models capable of distinguishing between crops and weed species with high precision. As a result, Python-driven weed detection models offer a promising path toward improved crop health, resource conservation, and sustainable farming practices.

**📢 Beyond Accuracy: Engineering EU-Compliant LLM Systems**
**[Soheyla Mirshahi](https://www.linkedin.com/in/soheyla-m-336961251), [Jan Kryštůfek](https://www.linkedin.com/in/jan-kry%C5%A1t%C5%AFfek-1780844a/) (CreativeDock)**
Building production-ready LLM systems is challenging, but designing solutions that comply with the EU AI Act introduces layers of complexity far beyond prompt engineering and API integration. This talk takes you through the journey of creating a compliant LLM system for one of the most demanding domains: AI-driven recruitment.
We share our journey from a naive PoC to a production ready solution under the AI Act. Through this case study, we will explore:

* Compliance-first approach: Designing LLM systems to meet security, legal and ethical standards from the ground up
* Taming LLM in Python: Using prompts, function calls and scoring model to get results in structured and auditable form
* Evaluation: Testing on synthetic data, human evaluation and user feedback
* Numbers: Statictics from production and percieved benefits

Attendees will leave equipped with practical tools, architectural patterns for building LLM systems that meet both engineering and regulatory challenges, supported by real-world example.

The venue will open at 6.00pm but the intro won't take place sooner than at 6:30pm. **We should enter via the Expo 58 gallery (in the middle floor of the 3-floor building).** There will be food and drinks available, 🤗 sponsors.

Please, RSVP here.
See you soon,
PyData Prague team

PyData Prague

Jan Pipek

Ostap Semenchuk

Petr Moravek

PyData Prague #24 - The Large, the Weed and the Compliant

CreativeDock

## Details

**Venue**: Riverbank House, 2 Swan Ln, London EC4R 3AD

**Please note**:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the **[NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)**, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as you know.
\*\*\*
**Code of Conduct**:
This event follows the **[NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)**. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.
\*\*\*
As always, there'll be free food & drinks, generously provided by our host, Man Group.
\*\*\*

**Main Talks**

**Transforming Language Understanding Using Generative AI - Shubhangi Goyal**
**Abstract:** Transforming Language Understanding Using Generative AI" explores the impact of generative artificial intelligence on language comprehension. This topic delves into how advanced AI models, capable of generating human-like text and understanding nuanced language contexts, are reshaping communication, translation, and interaction across various domains. Discover the transformative potential of generative AI in enhancing natural language processing tasks and paving the way for future innovations in linguistic technologies.

**⚡ Lightning Talks**
**1️⃣** Coming soon ...
**2️⃣** Coming soon ...

**Logistics**
Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!
Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!
Follow **[@pydatalondon](https://twitter.com/pydatalondon)** (https://twitter.com/pydatalondon) for updates and early announcements.

PyData London Meetup

Malgorzata  Szeszo

Prashant Tiwari

Jiarui Cao

PyData London - 91st Meetup

EC4R 3AD

PyData

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This group is operated by NumFOCUS, Inc. PyData is a program of NumFOCUS, a U.S.-based 501(c)3 non-profit. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including Python, Julia, R, and more.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) governs this meetup. You can submit a report of any potential Code of Conduct violation here: https://numfocus.typeform.com/to/ynjGdT 

Thanks for making PyData a welcoming and friendly community!

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