Large Language Models Training

Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.

The Large Language Models training focuses on the scientific and practical exploration of large language models. LLMs are powerful language models that are artificial intelligences capable of processing and generating human texts. These models, such as GPT (Generative Pre-trained Transformer), are characterized by a large number of parameters and are trained on vast datasets, allowing them to grasp complex language patterns and create coherent texts in various styles and contexts. LLMs are used in many applications, such as content generation, machine translation, chatbot creation, sentiment analysis, and many others, and their growing popularity makes them an increasingly important tool in the field of natural language processing and artificial intelligence.

• Programmers and software engineers who want to expand their knowledge about language models.
• AI and machine learning specialists who want to learn how to effectively use language models in practice.
• Data analysts and data scientists who want to utilize LLMs for analyzing and processing large text datasets.
• Individuals involved in sentiment analysis, natural language processing, and any other tasks related to text processing.

• Understanding the basic concepts of LLMs: Participants will gain knowledge about the architecture and functioning of large language models, as well as the training process of these models. They will also develop ethical awareness. They will learn techniques to protect against threats associated with the use of large language models.

• Preparing text data for working with large language models, including data cleaning, tokenization, and formatting.
• Learning practical aspects of working with large language models, including their implementation in various areas such as text generation or chatbot creation.
• Ethical awareness regarding issues related to large language models and techniques to safeguard against potential threats.

1. INTRODUCTION

2. BASIC ISSUES RELATED TO WORKING WITH TEXT
    • Preparing text data

3. THEORETICAL INTRODUCTION TO LARGE LANGUAGE MODELS
    • Understanding concepts, architecture of models, and the training process

4. INTRODUCTION TO LLMS
    • Applying previously learned concepts on basic code
    • Evaluating solutions
    • Case study

5. PRACTICAL ELEMENTS OF WORKING WITH LLMS
    • Practical applications – implementation and exploration of language models in various areas (e.g., text generation, chatbots)
    • Fine-tuning – adapting models to specific applications and project needs

6. OTHER TOOLS AND FRAMEWORKS

7. ETHICS AND SECURITY
    • Awareness of ethical issues related to large language models
    • Techniques to safeguard against potential threats

16 h/2 days