Descriptions
LangChain for LLM Application Development, 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. This course covers Models, Prompts, and Parsers for calling LLMs and handling responses; Memories for storing conversations and managing context; Chains for creating sequences of operations; Question Answering over Documents to apply LLMs to your proprietary data; and Agents, exploring the powerful development of LLMs as reasoning agents.
This one-hour course, instructed by LangChain creator Harrison Chase and Andrew Ng, will vastly expand the possibilities for leveraging powerful language models. You will build a model that serves as a starting point for your own applications, enabling you to create incredibly robust systems in a matter of hours.
What you’ll learn
- Apply LLMs to your proprietary data to build personal assistants and specialized chatbots.
- Use agents, chained calls, and memories to expand your use of LLMs.
- Learn directly from the creator of the framework, Harrison Chase.
Who this course is for
- Developers who want to build applications powered by large language models.
- Engineers looking to integrate LLMs with external data sources and APIs.
- Programmers interested in creating complex, multi-step AI systems.
- Individuals who want to learn a practical framework for LLM application development.
- Learners seeking to build robust AI agents capable of reasoning and taking action.
Specificatoin of LangChain for LLM Application Development
- Publisher : Coursera
- Teacher : Andrew Ng
- Language : English
- Level : All Levels
- Number of Course : 8
- Duration : 1 hour Learn at your own pace
Content of LangChain for LLM Application Development
1.Introduction
2.Models, Prompts and parsers
3.Memory
4.Chains
5.Question and Answer
6.Evaluation
7.Agents
8.Conclusion
Requirements
- Basic Python
Pictures

Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Password file(s): www.downloadly.ir
File size
854 MB