Automatic Product Inventory and Recommendation Engine Using CLIP and Qdrant
This blog offers a guide on designing a system that classifies product images into categories and suggests similar items in the inventory.
Superteams.ai Blog
Guides, newsletters, press releases, and case studies from our team of AI engineers and researchers.
How to Extract Knowledge from Complex PDF Documents Using Multimodal RAG Powered By ColPali
Want to extract knowledge from complex PDF documents? We explain the steps in this article.
Fine-Tuned Swin Transformer for Plant Classification
This blog explores fine-tuning a Swin Transformer model for agricultural plant classification using transfer learning and contrastive learning techniques.
Fire Hazard Detection with YOLO and Multimodal AI Systems
This tutorial aims to equip learners with the skills to train, deploy, and integrate YOLO-based fire detection models with multimodal alert systems.
Guide to Fine-Tune Your LLM for Building Your Own Financial Advisor
Learn how to fine-tune an LLM on a financial dataset to build a financial advisor
How to Benchmark Large Language Model Performance with LlamaIndex Evaluators
This blog post equips you with the knowledge and tools necessary to effectively benchmark large language models.
Mastering RAG Applications: Techniques to Boost Precision and Context
Here we explain why you should use advanced RAG techniques and how you can improve the precision & context of a RAG system.
Using Yolo-World to Handle Zero-Shot Object Detection
Step-by-step guide showcasing how to build zero-shot object detection application with the help of Yolo-World
A Guide to Building a RAG AI Assistant Using DeepSeek-R1
Learn to build an AI assistant using DeepSeek-R1’s reasoning model with an agentic RAG architecture for insightful responses over large knowledge bases.
How to Improve Accuracy of Your LLM-Powered RAG or AI Applications
This blog explores ways to enhance LLM app accuracy, the role of data ingestion, and how LLMs can improve data quality for better performance.
Building AI Agents for Customer Support Using LangGraph, Llama 3.1, and ChromaDB
This project explores the steps involved in building an AI agent by leveraging LangGraph, Llama 3.1, Gemma-2-9B, and Vector Search.
How to Set Up Falcon 40-B on a Budget
In this article, we offer a step-by-step guide on how to implement the Falcon 40-B algorithm on a budget using the Langchain framework.