Posts

Mastering System Design Interview: Essential Concepts for Every Software Engineer Link

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. Link

Get a jumpstart on website creation. Build or recreate any website in minutes with the power of AI. Link

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM “thoughts”, to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI. Link

GradientJ provides everything you need to build Large Language Model applications in minutes and manage them forever Link

In this article I will show you how you can run state-of-the-art large language models on your local computer. Yes, you’ve heard right. Link

The widespread public deployment of large language models (LLMs) in recent months has prompted a wave of new attention and engagement from advocates, policymakers, and scholars from many fields. This attention is a timely response to the many urgent questions that this technology raises, but it can sometimes miss important considerations. This paper surveys the evidence for eight potentially surprising such points Link

For complicated data extraction you need a robust library. The Kor Library (created by Eugene Yurtsev) is an awesome tool just for this. We are going to explore using Kor with a practical use case. Link

In this research, we propose a novel task-driven autonomous agent that leverages OpenAI’s GPT-4 language model, Pinecone vector search, and the LangChain framework to perform a wide range of tasks across diverse domains. Link

Mage is an open-source data pipeline tool for transforming and integrating data. Mage is a modern replacement for Airflow. Link

Use AI to translate code from one language to another. Link

In this tutorial, we’ll explore how to leverage the power of GPT-4 and Langchain to analyze the historical prices of Bitcoin from custom CSV data Link

Great, we can see that the first thing the agent did was default to the “Lex Fridman DB” tool. The input to that tool was generated by the LLM, and is “What did Lex Fridman say about the future of AI?”. Link

Mastering Tabular Data Validation with TFDV: A Practical Guide to Ensure Accurate and Reliable Machine Learning Models. Link

AWS Reference Architecture Diagrams Link