GoonIntroduction to AI Frameworks
Over the past few years, the speaker has been working with AI and building various AI applications. In this video, they will share five AI frameworks that they wish they had learned earlier, as they are extremely useful. The speaker has a free guide on how to make money from coding, which can be accessed through their newsletter.
LangChain
LangChain is a Python-based framework for working with LLMs (Large Language Models) and building gen-based applications. It allows users to easily use multiple LLM providers, such as OpenAI, and perform tasks like prompt templates, output parsing, buffer management, and conversation history. The speaker has built various applications using LangChain, including a simple AI choose your own adventure game and a more complex application that uses multiple AI agents to collaborate and produce a particular output.
The speaker has a few videos on their channel that walk through LangChain and its applications. They also have a tutorial on how to use LangChain to build an AI agent that can collaborate with multiple AI models to produce a particular output.
LangFlow
LangFlow is a graphical or visual-based editor that allows users to build LLM-based applications without writing code. It is similar to LangChain but provides a drag-and-drop interface for creating flows that can be executed from an API. The speaker has built a project using LangFlow to generate unique coding questions for their newsletter.
The speaker has a tutorial on their channel that shows how to use LangFlow to build a simple AI application. They also have a video that walks through how to use LangFlow to generate coding questions.
Ollama
Ollama is a free, open-source tool that allows users to download and run LLMs locally on their own computer. This means that users can download the best open-source models and run them locally without having to pay for something like ChatGPT or trust their data with a third-party provider.
The speaker has a demo of how Ollama works, and they show how to use it to run a model and get a response. They also mention that Ollama exposes a REST API server, which allows users to send requests to it and use it in their own applications.
LlamaIndex
LlamaIndex is a Python-based framework that has a heavy focus on documents, data, and building AI applications around enterprise-grade data. It allows users to connect to multiple different data sources, do things like document extraction, and has better text chunking and splitting.
The speaker has a video on their channel that walks through how to use LlamaIndex to build an AI agent that can go out and call multiple tools and use various data sets.
Hugging Face Transformers
Hugging Face Transformers is an open-source Python module that makes it significantly easier to work with transformer-based models in natural language processing, audio processing, video processing, and more. It is easier to use than frameworks like PyTorch or TensorFlow, and it provides pre-trained models that can be used to solve specific tasks.
The speaker gives a quick demo of what some Hugging Face code might look like, showing how easy it is to use pre-trained models to perform tasks like sentiment analysis and text summarization.
In conclusion, the speaker has shared five AI frameworks that they wish they had learned earlier. These frameworks include LangChain, LangFlow, Ollama, LlamaIndex, and Hugging Face Transformers. Each framework has its own unique features and use cases, and the speaker has provided tutorials and demos to help users get started with each one.