The Ultimate Roadmap for Starting Your Data Science Journey — I get asked quite often on my YouTube channel (Data Professor) the following questions about how to break into data science: How to become a Data Scientist? What is the roadmap to being a Data Scientist? What courses should I take to learn Data Science? So I thought that it…

Build your own LLM tool from scratch — 1. Introduction You’ve probably have heard of ChatGPT, the large language model (LLM) chatbot developed by OpenAI, as it took the world by storm with its uncanny ability to generate text response to user-provided questions (also known as prompts). In just two months of its launch, ChatGPT had grown to over 100…

Explore the use of embeddings, vectorstore, and question-answering chain — Introduction In recent months, large language models (LLMs) have attracted widespread attention as they open up a whole new world of opportunities, particularly for developers creating chatbots, personal assistants, and content. In the previous LangChain tutorials, you learned about three of the six key modules: model I/O (LLM model and prompt…

Explore the use of the document loader, text splitter, and summarization chain — Introduction Large language models (LLMs) are trained on massive amounts of text data using deep learning methods. The resulting model can perform a wide range of natural language processing (NLP) tasks, which can be broadly categorized into seven major use cases: classification, clustering, extraction, generation, rewriting, search, and summarization (read more…

Powerful Concepts for Navigating the Data Science Landscape — Introduction In the ever-evolving field of data science, the raw technical skills to wrangle and analyze data is undeniably crucial to any data project. …

A guide on conquering writer’s block with a Streamlit app — In LangChain tutorial #1, you learned about LangChain modules and built a simple LLM-powered app. The app took input from a text box and passed it to the LLM (from OpenAI) to generate a response. But it didn’t leverage other LangChain modules. In this post, I’ll show you how to…

A step-by-step guide using OpenAI, Langchain, and Streamlit — In the dynamic landscape of artificial intelligence (AI), generative AI and large language models (LLMs) have emerged as game-changers, revolutionizing the way we process and understand massive amounts of text data. …

How to safely navigate the turbulent landscape of LLM-powered apps — An Application Programming Interface (API) refers to how two software entities communicate. For example, OpenAI provides an API that enables developers to programmatically access their large language models (LLMs) such as GPT3, GPT3.5, and GPT4. …

A step-by-step guide using the unofficial HuggingChat API (no APIs required) — Introduction The remarkable progress made in natural language processing and large language models (LLMs) over the past few months has led to the widespread adoption of generative AI and chatbots. Chatbots that are powered by large language models, like ChatGPT, have become particularly popular. These chatbots are capable of understanding and…