Large Language Models Bootcamp
Pre-trained large language models like ChatGPT offer impressive capabilities but they cannot be used in scenarios where the underlying data is proprietary and requires industry-specific knowledge. Businesses are rushing to build custom LLM applications that offer enhanced performance, control, customization and most importantly, competitive advantage.
This bootcamp offers a comprehensive introduction to get started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset of your choice.
What You'll Learn
- Understand core principles of generative AI and LLMs, including their application architectures and design tradeoffs
- Develop expertise in vector databases and embeddings while working with effective data processing systems
- Master the art of writing effective prompts and fine-tuning LLMs for specific tasks and custom applications
- Utilize and implement orchestration frameworks like LangChain and Llama Index for structured application development
- Deploy and manage LLM applications on platforms like Azure and Hugging Face with proper monitoring techniques
- Build comprehensive end-to-end LLM applications with multi-agent implementations for enhanced interaction and task automation
Access the full recordings from the 5-day LLM Bootcamp to catch up on missed content or revisit critical discussions. These recordings allow you to review key concepts and techniques at...
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24 Lessons
$100.00
This module will equip you with the foundational programming knowledge and theory needed to excel in the bootcamp. By covering essential Python concepts and tools, we aim to ensure a...
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13 Lessons
$100.00
In this module, you will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. You...
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7 Lessons
$100.00
In this module, you will explore key concepts of transformer architecture, embeddings, attention mechanisms, and tokenization. You’ll gain a deeper understanding of semantic similarity and how it is calculated using...
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5 Lessons
$100.00
In this module, you will explore the fundamentals of prompt engineering, including key concepts like in-context learning, designing effective prompts, and using various prompting techniques. You will learn how to...
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12 Lessons
$100.00
In this module, you’ll uncover how vector databases power modern applications, focusing on their mechanics and practical uses. You’ll explore types of searches, understand Approximate Nearest Neighbor (ANN) algorithms like...
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9 Lessons
$100.00
Unlock the power of LangChain and take your LLM application development skills to the next level. In this module, you’ll discover how to harness LangChain’s core features, including prompts, retrieval,...
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11 Lessons
$100.00
In this module, you will explore the practical aspects of building enterprise-level LLM applications and Retrieval-Augmented Generation (RAG) systems. You’ll gain insights into advanced techniques for building RAG architecture and...
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4 Lessons
$100.00
In this module, we’ll explore techniques for monitoring and managing LLMs, focusing on observability, performance metrics, and implementing guardrails for safe and ethical AI. Using the Phoenix framework in hands-on...
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6 Lessons
$100.00
In this module, you’ll delve into the core principles of Large Language Models (LLMs), with a focus on fine-tuning and transfer learning. You’ll explore methods like prompt tuning, prefix tuning,...
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11 Lessons
$100.00
In this module, you will learn how to evaluate LLMs by exploring benchmark datasets like MMLU and HELM, which evaluate LLMs across various tasks. You will then explore how to...
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5 Lessons
$100.00
In this module, you’ll create a functional LLM application by choosing one of three exciting projects. You can build a Basic Chatbot that answers general queries, develop a Chatbot Agent...
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10 Lessons
$100.00