In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
In this course you will learn and get experience with the following topics: 1. Models, Prompts and Parsers: Calling LLMs, providing prompts and parsing the response. 2. Memories for LLMs: Memories to store conversations and manage limited context space. 3. Chains: Creating sequences of operations. 4. Question Answering over Documents: Apply LLMs to your proprietary data and use case requirements. 5. Agents: Explore the powerful emerging development of LLM as reasoning agents. At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications. This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours.
SS
I learned about models,parsers, prompts, evaluation, agents in this course. It was good
TH
Providing the overview for how to use LangChain and understand it's benefit.
AS
very detailed and amazing for even intermediate and advanced ML enthusiats and practicioners
SS
Good introductory course to get started with Langchain
DM
Concise but highly informative introduction to LangChain with sample code for some use cases
JC
Extraordinary to learn about AI agents and frameworks
EW
very good overview of Langchain's amazing capabilities
BE
Great hands-on introduction (all code included) to LangChain
ER
Powerful Framework, looking forward to use it on my development
LG
The lecture was well-taught and covered a very interesting topic!
YC
Really helpful for those who want to start building LLM applications
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This is a great course/project, and it was awesome to see Harrison along with Andrew teaching it. It's quite a bit out of date now, so most of the syntax has changed with LangChain, which is a bit annoying. I ended up re-working all the code with the latest version of LangChain, and I found the experience very rewarding. It took significantly more than an hour to do all of that, though.
Concise but highly informative introduction to LangChain with sample code for some use cases
good for basics but too outdated for this fast moving LLM zone.
Outdated. Expecting more detailed explanation. Not for beginner level.
very detailed and amazing for even intermediate and advanced ML enthusiats and practicioners
I learned about models,parsers, prompts, evaluation, agents in this course. It was good
Providing the overview for how to use LangChain and understand it's benefit.
Really helpful for those who want to start building LLM applications
The lecture was well-taught and covered a very interesting topic!
Powerful Framework, looking forward to use it on my development
Great hands-on introduction (all code included) to LangChain
A wonderful explanation of a tool that LangChain offers.
Good introductory course to get started with Langchain
very good overview of Langchain's amazing capabilities
Extraordinary to learn about AI agents and frameworks
a bit outdated but still great content
Very good fro beginner to start over
Curso corto pero muy interesante.
Thank you for the best LLM course
covers all the topic very well!