Software Engineer at Datadog, world class leader for monitoring and alerting all you applications.
Henry create multiple companies and participated in Open-Source in order to explore tech world and all his possibilities. It's in that idea that he also tried the DevOps at Crédit Agricole the biggest Banking group in France but also worked at CRITEO leader in retargeting and retail media.
LangChain 🦜🔗 est bien plus qu'un simple framework pour développer des applications alimentées par des modèles de langage. C'est un outil polyvalent qui vous permet d'interagir avec vos APIs ou bases de données en utilisant un langage familier.
Au cours de cette présentation, nous explorerons comment, en quelques lignes de code, nous pouvons interagir avec une LLM et créer des applications complexes propulsées par l'IA.
La présentation comprendra les points suivants :
- LangChain 🦜🔗et son écosystème.
- Une démonstration en direct de la mise en place de notre application pour interagir avec les modèles de langage (LLM) du prototype, à la mise en production mais également au monitoring de l'application.
⚛️ Hooks brought a wave of innovation, but we quickly found ourselves writing code that was difficult to read and inefficient due to its structure.
Signals emerge as a near-miraculous solution that allows you to clarify, simplify, and make your code more performant.
In this talk, we'll explore the inner workings of signals, a powerful alternative to React Hooks that will allow you to:
- Write clean and readable code
- Boost the performance of your application
- Decouple your components for better modularity
Whether you're a beginner or experienced React developer, this talk will provide you with valuable insights to improve your workflow and the quality of your code.
On the agenda:
- In-depth comparison between signals and hooks
- How signals work
- Advanced techniques to use the full potential of signals
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