Live online course
Advance LLM to Create Robust Solutions
Welcome to the LLM course where you will gain knowledge about large language models and their real-world applications. Join us to learn how to effectively use GPT models, master prompt engineering techniques, and explore the latest developments in large language models beyond GPT-4.
  • 5 live sessions start August 8, 2023
  • 25 learners per course
  • €550 (€450 before 03.08) per seat.
    Use your L&D budget to cover the cost!
  • language: English
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about course
Independent researcher, ex. Head of NLP
Designed for ML/DL engineers, NLP engineers
also for deep learning engineers
Gain new skills:
  • Apply the right GPT model to solve specific problems
  • Utilize open-source alternatives to OpenAI models
  • Design and craft effective prompts for your NLP applications
  • Optimize cost, efficiency, and performance when deploying LLMs
  • Boost your career prospects in the AI field
About live online course by Natalya Avanesova
Session 1

Large Language Models: explained

Tuesday, August 8, 2023
Understanding what large language models are and their types and significance in natural language processing (NLP).
Exploring the benefits and limitations of large language models, including ethical considerations and potential biases.
Discovering real-world applications of large language models.
Session 2

Choosing the Right GPT Model for Your Specific Task

Thursday, August 10, 2023
Understanding the evolution of the GPT series, their architectures and features.
Learning about the pre-training process for GPT models, including tokenization and language modeling objectives.
Ensuring ethical use. Performance evaluation. Best practices of using GPT models.
Session 3

Open Source Alternatives

Tuesday, August 15, 2023
Exploring the trade-offs between using proprietary large language models versus open-source alternatives.
Understanding the landscape of alternatives to OpenAI models, including models developed by MetaAI, AI21, BigScience, EleutherAI and others.
Learning about the differences in architecture, performance, and use cases between OpenAI models and their alternatives.
Discovering real-world examples of how OpenAI models and their alternatives are being used in various NLP applications
Understanding best practices for deploying LLMs in production environments, including how to optimize cost, efficiency, and performance.
Session 4

Mastering Prompts: Techniques for Effective Prompt Engineering

Thursday, August 17, 2023
Learning about the fundamentals of prompt engineering, including the types of prompts, their purpose, and how they are used in various contexts.
Discovering techniques for designing and crafting effective prompts, including best practices for testing and refining prompts.
Exploring the basics of LLM settings and how to use them to improve the quality and relevance of prompts.
Session 5

Discovering GPT-4: What's New and What's Next in Large Language Models

Tuesday, August 22, 2023
Discovering GPT-4's new features and capabilities, such as increased contextual awareness, expanded language support, and improved natural language generation.
Understanding how GPT-4 fits into the larger landscape of large language models, including its potential applications in fields like chatbots, virtual assistants, and automated content creation.
Looking towards the future of large language models beyond GPT-4, including potential developments in areas like multi-modal learning, enhanced reasoning and decision-making, and improved interpretability and explainability.
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Teaching expert

Natalya Avanesova


LLM in Depth: Create Your Own J.A.R.V.I.S and Explore the Power&Limitations of Large Language Models



Live talk + Q&A

Meet the top expert leading your course

Independent researcher, ex. Head of NLP

Natalya Avanesova is a distinguished NLP expert boasting 6+ years of industry experience, with a focus on LLM technology. As a Ph.D. holder in Linguistics, she has authored 10 publications and mentored over 100 professionals. Natalya has successfully led 10 LLM-related projects, collaborating with cross-functional, multinational teams to deliver cutting-edge solutions.

Among her remarkable accomplishments, Natalya has leveraged GPT-3 and GPT-J models to develop conversational assistants, pioneered LLM and AI-driven cooperation indicators for citizen science projects, and co-created information extraction systems for various industries. Additionally, she has contributed to multilingual machine translation services, customer review classification systems, and chatbots with recommendation capabilities. Her innovative work spans sectors such as travel, hospitality, tech, and cognitive design, making her an invaluable asset in the field of NLP.

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