Introduction: This article aims to explore an innovative path by utilizing Google’s Gemini Flash instead of the widely known LangChain to achieve intelligent interaction with CSV files. We will build a simple CSV interpreter that generates code and parses data without LangChain, creating an intuitive user interface with Streamlit.©️【Deep Blue AI】 In today’s rapidly evolving … Read more
Source: Zhuanzhi This article is a book introduction, recommended reading time 5 minutes. Learn to build complex AI applications using the latest popular frameworks in Python. This practical guide will take you from basic chatbots to advanced assistants capable of reasoning over data. Learn to build complex AI applications using the latest popular frameworks in … Read more
Source: DeepHub IMBA This article is about 4000 words, and it is recommended to read in 5 minutes. In this article, I will demonstrate how to create your own Document Assistant from scratch using LLaMA 7b and Langchain. In the past few months, large language models (LLMs) have gained tremendous attention, creating exciting prospects, especially … Read more
ClickFollowWeChat Official Account, “Technical Insights” for Timely Updates! Introduction If you want to deploy and run an open-source large model on localhost, you can try Ollama. In this article, we will deploy Ollama and call the large model via API. Installation Ollama provides two development packages for Python and JavaScript, which are quite friendly for … Read more
Yesterday, I wrote about How OLLama Builds a Knowledge Base for Q&A Using Existing Documents? OLLama + LangChain to Assist You. There was a streamlit related to the graphical interface for the OLLama knowledge base Q&A that I didn’t write about because the code didn’t run, so today I will supplement that part. Finally, there … Read more
Project Overview Phidata is an open-source framework designed to build automated assistants (intelligent agents) with memory, knowledge, and tool capabilities. This framework addresses the limitations of existing large language models (LLMs) in terms of context and their inability to perform actions by adding a database to store chat history, a vector database to store business … Read more
This article has several interesting points: 1. Visualization using Streamlit. 2. Calculating rolling averages and momentum indicators to understand market trends. 3. Using Llama 3 to interpret the data. First, install and import the following packages: import yfinance as yf import pandas as pd import schedule import time import ollama from datetime import datetime, timedelta … Read more
This article was originally published at the end of November 2024, for everyone’s understanding. Many features have been upgraded in the latest version, and I will update the new experience when I have time. Windsurf has been released for several days now, and personally, I have been using Cursor and Bolt quite a bit. This … Read more
Build Your Own AI Chat System with Python and DeepSeek API! Do you want to have your own AI chat system? Do you want to quickly build a cool web application using Python and Streamlit? Do you want to experience the powerful features of the DeepSeek API? This tutorial will guide you step by step … Read more