Introduction to LangChain – Building with LLMs

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About Course

Create Powerful Language Model Applications in this Project-based Workshop-style Course

Are you excited about building your own language model applications? Look no further! Welcome to our comprehensive course on Functions, Tools, and Agents with L chain.

In this engaging workshop-style course, you will gain hands-on experience and learn how to develop basic language model applications from scratch. By the end of this course, you will have the skills and knowledge to create your own powerful language model applications!

Course Highlights:

Introduction to Language Models:

Get acquainted with language models and understand their ability to interact with humans using natural language. Explore the possibilities and applications of these intelligent models.

Topic 1 – OpenAI Function Calling:

Dive into the world of function calling with OpenAI. Learn the concepts of functions and parameters and how to use the OpenAI SDK to make function calls. Gain control over function behavior and explore various techniques to optimize your applications.

Topic 2 – LangChain Expression Language (LCEL):

Master LCEL, a powerful language that simplifies the composition of components or chains. Discover how to define chains using LCEL and leverage its capabilities to combine OpenAI function calls. Handle fallbacks and error scenarios with ease. Understand how to execute asynchronous operations and stream responses.

Topic 3 – OpenAI Function Calling in LangChain:

Explore the introduction of Pantic and data validation. Harness the power of Pantic to define OpenAI function behavior. Combine OpenAI functions seamlessly with LCEL and unlock advanced features for enhanced functionality.

Topic 4 – Tagging & Extraction:

Delve into the world of tagging and extraction techniques. Learn advanced techniques for extracting valuable information from text. Understand considerations for large texts and optimize application performance. Harness the language model’s capability to drive tool selection.

Topic 5 – Custom Tools and Routing:

Unlock the ability to create custom tools tailored to your specific needs. Leverage OpenAPI specs to simplify tool creation. Discover how language models can drive tool selection based on specific requirements.

Topic 6 – Conversational Agents:

Unleash the power of conversational agents. Understand their role and build your own conversational agent from scratch. Add memory capability to enhance conversation context and create a user-friendly interface for seamless interaction.

Throughout this project-based course, you will embark on exciting coding challenges, real-world examples, and immersive exercises. Gain practical experience and build confidence in creating your own language model applications.

Don’t miss this opportunity to unlock the full potential of Language Models and create impressive applications. Enroll now and start your journey towards becoming a proficient language model developer!

Note: This course assumes basic programming knowledge and familiarity with Python.

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What Will You Learn?

  • How to utilize OpenAI function calling to interact with existing software infrastructure.
  • The LangChain Expression Language (LCEL) and how to define chains for powerful language model applications.
  • Techniques for handling fallbacks and error scenarios in language model applications.
  • How to perform asynchronous operations and stream responses for enhanced user experience.
  • The integration of Pantic and data validation for advanced OpenAI function calling.
  • Advanced tagging and extraction techniques to extract valuable information from text.
  • Creating custom tools and leveraging OpenAPI specs for tool creation.
  • Building conversational agents with memory capability and developing user interfaces for seamless interaction.
  • Applying all the learned concepts to create basic language model applications by the end of the course.

Course Content

Introduction to LangChain

  • Introduction

Topic 1 – OpenAI Function Calling

Topic 2 – LangChain Expression Language (LCEL)

Topic 3 – OpenAI Function Calling in LangChain

Topic 4 – Tagging & Extraction

Topic 5 – Tools and Routing

Topic 6 – Conversational Agent


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