In the world of technology, lang chain has proved by setting its feet that how much this platform can be useful for AI app developers in future. It is an open service framework. It provides facilities for those who work on AI and machine learning that making application based on LLM has become very easy.
Lang chain was launched in the month of October 2022 as an open services by Harrison Chase. At that time he was working on Robust Intelligence machine learning. It is playing its important role in connecting different LLMs with each other and making an easy, reusable and effective workflow.
Let’s try to know about this platform “Lang Chain” which is making the process of building LLM-based applications fast and easy.
What is LangChain?
Lang chain was launched as an open services but later it was converted into a company. It provides tools to developers for working on LLMs which gives them easiness in understanding difficult machine learnings and using it.
In simple words, it is a prompt extraction tool. It is a simple interface for developers which gives them easiness in working on LLMs. It is playing its important role in easily creating all applications connected with LLMs and proving its firm steps.
Key Features That Make LangChain Stand Out
When we move towards its features, there is a huge collection of features in it. We can use each part separately and if any feature is created in it, we can use it again and again and also in different places, there is no limit applied in it.
This framework is not limited like we have gpt-4 or gpt-3 only, but it can also work easily with different tools and many big launching models. Which gives a lot of options for developers.
It has memory, self-decision making, and prompt arranging parts present in it.
Real-World Use Cases of LangChain
Lang chain has a lot of uses in real world. It creates such chatbots which talk with us like humans not like AI. It creates virtual assistants for us which can give answers of our questions.
It can create for us such tools like gpt which can quickly give answers of our questions and documents.
It works like gpt and even more than it, preparing big articles, blogs easily and making their summaries is a small work for it. Developers are creating applications by using it.
The Growing LangChain Ecosystem
Around lang chain a fast growing network is being created. Developers, communities, tools, libraries and plugins are including in it. Which are making new features and solutions for working with lang chain. Which made it more easy for developers to work.
Because of this, lang chain ecosystem is becoming very strong and rapidly making its name.
Final Thought
What I have taken from this article is that “Lang Chain” is a platform for developers which is proving helpful for them in creating LLM-based AI applications. It has made creating applications very easy for developers. It provides such tools which become the solution of all difficulties of developers. With its best features, it is creating a lot of easiness for users in real world. It is not only limited to gpt-4 or gpt-3 but playing its role beyond them.
In future it is very useful for AI developers. By using it, working with any machine learning becomes very easy. Through it we can create any type of applications.
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