Building an AI-Powered Learning Assistant with CrewAI

Building an AI-Powered Learning Assistant with CrewAI

This tutorial demonstrates building an intelligent learning assistant using CrewAI, OpenAI's GPT models, and the Serper API. This AI-powered system generates personalized learning materials, quizzes, and project suggestions, streamlining the educatio

Mar 05, 2025 am 11:25 AM
Prompt Chaining Tutorial: What Is Prompt Chaining and How to Use It?

Prompt Chaining Tutorial: What Is Prompt Chaining and How to Use It?

Ever assembled furniture without instructions? The result's usually messy. Large language models (LLMs) face a similar challenge with complex tasks. While powerful, they often struggle with multi-step reasoning. A single prompt might yield vague

Mar 05, 2025 am 11:18 AM
Multi-Agent Workflow with LlamaIndex for Research & Writing

Multi-Agent Workflow with LlamaIndex for Research & Writing

Large Language Model agents are powerful tools for automating tasks like search, content generation, and quality review. However, a single agent often can’t do everything efficiently, especially when you need to integrate externa

Mar 05, 2025 am 11:16 AM
pgvector Tutorial: Integrate Vector Search into PostgreSQL

pgvector Tutorial: Integrate Vector Search into PostgreSQL

In recent years, vector search has become increasingly popular with the development of generative AI and large language model ecosystems. Vector search is an information retrieval method in which documents and queries are represented as vectors rather than plain text. This numerical representation is obtained by using a large trained neural network that can convert unstructured data such as text, images, and videos into vectors. Traditional correlation databases cannot optimize the processing of large amounts of vector data. Therefore, in the past few years, many open source and proprietary vector databases have emerged. However, it may not be ideal for all companies to have a dedicated database separate from the primary database just for vectors. pgvector came into being, it is a powerful Postg

Mar 05, 2025 am 11:14 AM
DuckDB Tutorial: Building AI Projects

DuckDB Tutorial: Building AI Projects

DuckDB: A High-Performance Database for Data Science and AI DuckDB, recently released as a stable version, is rapidly gaining traction within the data and AI communities. Its seamless integration with various frameworks makes it a valuable tool for

Mar 05, 2025 am 11:12 AM
Building User Interfaces For AI Applications with Gradio in Python

Building User Interfaces For AI Applications with Gradio in Python

The usefulness of today’s AI models is greatly diminished without accessible user interfaces. Using Gradio, an open-source Python web UI library, you can bridge that gap between LLMs and non-technical end users. It allows you to create rapid prototyp

Mar 05, 2025 am 11:10 AM
Zero-Shot Prompting: Examples, Theory, Use Cases

Zero-Shot Prompting: Examples, Theory, Use Cases

This tutorial dives into zero-shot prompting, a technique leveraging the generalization capabilities of large language models (LLMs). Unlike traditional methods requiring extensive task-specific training, zero-shot prompting allows LLMs to tackle di

Mar 05, 2025 am 11:09 AM
Fine-Tuning Llama 3.1 for Text Classification

Fine-Tuning Llama 3.1 for Text Classification

This tutorial demonstrates fine-tuning the Llama 3.1-8b-It model for mental health sentiment analysis. We'll customize the model to predict patient mental health status from text data, merge the adapter with the base model, and deploy the complete m

Mar 05, 2025 am 11:08 AM
A Comprehensive Guide to LLM Pretraining

A Comprehensive Guide to LLM Pretraining

This article delves into the crucial role of Large Language Model (LLM) pretraining in shaping modern AI capabilities, drawing heavily from Andrej Karapathy's "Deep Dive into LLMs like ChatGPT." We'll explore the process, from raw data acq

Mar 05, 2025 am 11:07 AM
Base LLM vs Instruction-Tuned LLM

Base LLM vs Instruction-Tuned LLM

Artificial intelligence's rapid advancement relies heavily on language models for both comprehending and generating human language. Base LLMs and Instruction-Tuned LLMs represent two distinct approaches to language processing. This article delves in

Mar 05, 2025 am 11:06 AM
Sam Altman Discloses GPT-5 Roadmap: Here's What to Expect!

Sam Altman Discloses GPT-5 Roadmap: Here's What to Expect!

Sam Altman's recent X post unveiled OpenAI's roadmap for GPT-4.5 and GPT-5, promising a simpler user experience and a future where GPT-5 acts as a powerful "computer assistant." This evolution, beginning with GPT-4.5 and culminating in GPT

Mar 05, 2025 am 11:05 AM
Agri Bot: A Multilingual AI Agent for Farmers Using LangChain

Agri Bot: A Multilingual AI Agent for Farmers Using LangChain

This AI-powered chatbot, AgriBot, provides multilingual agricultural information to farmers and enthusiasts. This article details its features, architecture, and code, highlighting its user-friendly design and advanced technology integration. The a

Mar 05, 2025 am 11:00 AM
GPT-4o and LangGraph Tutorial: Build a TNT-LLM Application

GPT-4o and LangGraph Tutorial: Build a TNT-LLM Application

Microsoft's TNT-LLM: Revolutionizing Taxonomy Generation and Text Classification Microsoft has unveiled TNT-LLM, a groundbreaking system automating taxonomy creation and text classification, surpassing traditional methods in both speed and accuracy.

Mar 05, 2025 am 10:56 AM
RAG System for AI Reasoning with DeepSeek R1 Distilled Model

RAG System for AI Reasoning with DeepSeek R1 Distilled Model

DeepSeek R1: A Revolutionary Open-Source Language Model DeepSeek, a Chinese AI startup, launched DeepSeek R1 in January 2025, a groundbreaking open-source language model challenging leading models like OpenAI's o1. Its unique blend of Mixture-of-Exp

Mar 05, 2025 am 10:47 AM

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