The MLI Newsletter: (Module: NLP, Generative AI & Large Language Models)

Dear MLI Community,

Welcome to The Machine Learning Institute Certificate in Finance (MLI) newsletter.

This week I would like to focus on the NLP, Generative AI & Large Language Models Module of the MLI.

Some of the most significant recent advances in machine learning and artificial intelligence have been in the space of NLP or Natural Language Processing. Some models have even passed the Turing test: succeeded in convincing the judges that they are human. Nowadays NLP is dominated by Large Language Models (LLPs) such as ChatGPT and Llama, which are often built on top of a deep learning technology known as transformers. We will consider this subject in depth.

• Training LLMs for Quant Finance - Olga Petrova, PhD
• Gaussian Processes for Uncertainty Quantification in Finance - Matthew Dixon
• Deep learning for text - Ivan Zhdankin
• Foundation NLP Models for ESG data extraction - Robert Dargavel Smith
• Attention, transformers, and BERT - Olga Petrova, PhD
• Generative modelling, variational autoencoders and GANs - David Foster
• A data-driven market simulator for small data environments - Blanka Horvath

The Machine Learning Institute Certificate in Finance (MLI) offers a cutting-edge module on Natural Language Processing (NLP), Generative AI & Large Language Models (LLMs), tailored for finance professionals who want to leverage AI in their work.

Overview of the Module

This module is designed to provide a comprehensive understanding of how NLP, generative AI, and large language models can be applied within the financial services industry. It covers the underlying technology, practical applications, and the ways these tools can enhance efficiency, improve decision-making, and automate various financial processes.

Key Topics Covered

1. Introduction to Natural Language Processing (NLP)
2. Generative AI in Finance
3. Large Language Models (LLMs)
4. Hands-On Projects
5. Practical Tools and Platforms

Learning outcomes

? Understanding the various stages of linguistics/NLP eg. phonetics, phonology, morphology, syntax, semantics and pragmatics)

? Understanding how a word embedding can be used to represent text

? Moving from basic rules based embeddings (eg. bag of words) to machine learning based embeddings (eg. word2vec, BERT etc.)

? Understanding specific NLP based tasks eg. topic modelling, sentiment analysis and text summarisation, with examples

? Discussion of the Transformer based models such as GPT2, ChatGPT etc.

? Understand how generative models can be used to represent complex datasets such as images and sequences

? Understand some of the most used models, such as autoregressive models, variational autoencoders, GANs (generative adversarial networks) etc.

? Practical applications in computer vision and NLP (ChatGPT and similar models)

Who Should Enroll?

This module is ideal for:

• Finance professionals (investment analysts, risk managers, financial advisors) who want to integrate AI into their workflows.
• Data scientists and quants looking to deepen their understanding of NLP and LLMs in finance.
• IT professionals working in financial services who need to implement AI-driven solutions.

This module from the MLI Certificate in Finance equips participants with a future-proof skill set, enabling them to stay ahead in an increasingly AI-driven financial industry.

Assessment

The students work in this module is assessed according to the following components:

? Final Examination (33.3%) ? Final Project (33.3%) ? Module Test (33.3%)

The Machine Learning Institute Certificate in Finance (MLI): Starts next 19th November.

10% Early Bird Discount until Friday 1st November 2024.

https://mlinstitute.org/