WBS Training: Quant Finance Meet Up

ArmoniK: Innovative Orchestration for Cutting-Edge High-Performance Quantitative Computing

As a quant in Capital Markets, have you ever dreamt of a simple mechanism that could help you implement quickly your new complex pricings in production?

A dream where your Nested Monte-Carlo, XVA or AAD algorithms, could very simply run on prem and on cloud, and distribute parts of your graphs to adequate partitions of CPU, GPU, TPU and tomorrow QPU!

ArmoniK, the new innovative orchestrator, does that … and much more!
Indeed, ArmoniK uses an intelligent dynamic task graph to very efficiently distribute computations and associated data, ensuring extremely high reliability, performance, and scalability, thanks to its native Kubernetes design.

Based on concrete capital market use cases implemented in production at Crédit Agricole CIB last two years, Omar (CA-CIB IT Quant) and Jérôme (ArmoniK Tech Lead) will explain how easily you can do this with ArmoniK.

1. Dynamic graph to implement in a smart way all kinds of algorithms
2. Simplify data management for a very performant compute
3. Allocate desired machine configuration to graph segments (CPU/GPU/TPU/QPU, RAM etc.)
4. Unified access to an elastic hybrid setup on prem and on N clouds
5. Extremely fault tolerant with extensive monitoring
6. Easiness and Advantages of replacing DataSynapse and Symphony onprem by ArmoniK hybrid

The Large Language Models (LLMs) in Finance Certificate will guide participants through the essentials of LLMs, including their architecture, operation, and the latest advancements in the field. It will delve into the practical aspects of deploying these models for financial tasks, such as fine-tuning for domain-specific applications, implementing retrieval-augmented generation for enhanced information processing, and evaluating model performance. Through a series of hands-on examples and projects, learners will gain the skills necessary to apply LLMs effectively within the finance sector, addressing real-world challenges and unlocking new opportunities.

https://www.aifinanceinstitute.com/

What is covered in this AIFI webinar?

Introduction from Geoff Brown, WBS Training, Global Head of Business Development.
LLM in Finance. Presentation by Head of AIFI Faculty: Dr Miquel Noguer i Alonso
Information Session: Large Language Models (LLMs) in Finance Certificate by Head of AIFI Faculty: Dr Miquel Noguer i Alonso
Followed by a Q&A

Modules:

Introduction to LLMs
Applications and Limitations of LLMs
Advanced Techniques with LLMs
Quantization and Sharding for LLMs
Fine-Tuning and RAG Introduction
Deep Dive into RAG and Evaluation
LLMs Agents, AI Safety and Finance Examples
Practical Applications and Real World Project
Real World Project

📆 Duration:
8 Lecture Weeks
8 - 10 Hours Weekly: Time Commitment
Weekly recorded lectures accessible any time, from any global location, in your educational portal.

Format:
💻 Online e-Learning
🌐 Global audience
🕛 Self-paced

Evaluation:
✔ Final Project + Certificate
🤖 Students will have the opportunity to apply what they learn in a real world project.

💡 Faculty:
Dedicated Faculty Support available every step of the way. Weekly seminar & student forum.

🦉 Early Bird Discounts
Super early bird discount - 20% until 30th May 2025
Early bird discount - 10% until 1st August 2025

📊 Certificate:
Students are awarded The Artificial Intelligence Finance Institute’s (AIFI) LLM Certificate.

Register: https://www.wbstraining.com/events/llms/booking/