21 au 23 février, 2024
Montréal, Canada
Conférence Python
Python
You've deployed a neat little function to a serverless service. That worked fine enough, few clicks through the UI, an uploaded zip and you're all set. Adding a few more functions? No big deal. Adding a few hundreds? Uh-oh. In this talk, I'll show you how to build adaptive scale-to-zero serverless solutions using AWS Chalice allowing you to get started quickly, iterate fast and leverage the benefits of serverless compute with minimal compromises.
Python
Are you intrigued by the possibilities of running your very own large language model? Join me as we delve into the hardware requirements, step-by-step processes, and limitations of openly available LLMs. From crafting your home Jarvis to building your office librarian.
Learn the essential tools, key definitions, and see practical code examples. Unleash the potential of AI while keeping your data secure.
Learn the essential tools, key definitions, and see practical code examples. Unleash the potential of AI while keeping your data secure.
Python
Apprenez à fine tuned un pre trained model open source Llama2 pour lui apprendre à réaliser un quiz de plusieurs questions à partir d’un PDF!
Les thèmes couverts sont:
- Génération de données synthétiques
- Fine tune de Llama2
- Déploiement via RunPod dans le Cloud
Les thèmes couverts sont:
- Génération de données synthétiques
- Fine tune de Llama2
- Déploiement via RunPod dans le Cloud
Python
Avez-vous déjà songé à mettre en place un chatbot sur votre base de connaissances (KB) ? Je vous propose de découvrir une solution simple pour le réaliser en utilisant le langage Python, les capacités d'un Large Language Model (LLM) tel que GPT-3 pour la partie discussion en langage naturel, l'API d'Open Al GPT-3 via la librairie LangChain, ainsi que le framework Web Python Streamlit pour l'interface graphique Web.
Python
Prompts play a crucial role in communicating and directing the behavior of Large Language Models (LLMs) AI. Semantic Kernel is like a mixologist who looks at available ingredients and crafts new cocktail recipes. Semantic Kernel looks at different plugins, prompts, and memory stores to create an execution plan. Attend the presentation to learn about Semantic Kernel and build an AI Mixologist creative enough to suggest new cocktails. Cheers!
Python
As a Java developer, I heard a lot about Python and I thought to give it a try.
This presentation is about Fast API and how it’s revolutionizing API creation with speed and simplicity.
This presentation is about Fast API and how it’s revolutionizing API creation with speed and simplicity.
Python
Both Golang (Go) and Python are popular programming languages, each with its own set of advantages and disadvantages. Python is by far the easiest one to setup and use to validate the model. This rapid prototyping and flexibility of Python are highly shadowed by the performance of the model when compared to Golang. Let’s look at how we deployed object detection model with OpenCV on those two programming languages.
Python
Pandas is an extremely efficient tool to do data manipulation in Python, but many find it unintuitive. We'll cover how to think about Pandas Dataframes and how to perform useful operations on your data. You'll leave this talk able to create and combine different Dataframes, handle null data, perform calculations, and graph your results.
Python
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. You can invoke your Lambda functions using the Lambda API, or Lambda can run your functions in response to events from other AWS services. In this presentation, we will give an introduction to AWS Lambda and Serverless Computing, how to trigger functions, and we will demo how to integrate an app with Lambda to turn it into a powerful microservice.
Python
Large Language Models (LLMs) are powerful. However, they don't have the most up to date information. In this session, Shao Hang He will show you how to feed external data to augment your LLM prompts using Python, LangChain and OpenAI. This includes setting up a Vector Database, converting data to embeddings and making queries. Also, we will go over several examples such as chatting with a PDF and smart search your messages in your email inbox.
Python
In this talk we don't look at the syntax of Python; that's the easy part. In this talk we look at the culture. What libraries should we use for hosting a web api? For data access? For data science? For script automation? Where do I download these packages? We'll focus a lot on Jupyter, the interactive REPL for Python and more. Getting started with Python can be fun and rewarding, and open up a whole new set of skills and solutions.
Python
In this presentation, we'll dive into the world of type annotations and demonstrate how they empower developers to build robust and maintainable code. Discover the benefits of strong typing and gain practical insights into working with types, making your Python projects more reliable and easier to maintain.
Python
I will break down writing effective unit tests into five best practices. I will use Python for these examples but the best practices are applicable to other languages as well. (1) Serving as documentation (2) Covering all edge cases (3) Avoiding testing implementation details (4) Contain as little logic as possible (5) Keeping a small scope
Montréal 2024
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