#39 Top 5 ML Algorithms, Graph RAG, & Tutorial for Creating an Agentic Multimodal Chatbot.

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, AI enthusiasts! This week, we have discussed some of the latest industry innovations and trends like GraphRAG, Agentic chatbots, evolving trends with search engines, and some very interesting project-based collaboration opportunities. Enjoy the read!

— Louis-François Bouchard, Towards AI Co-founder & Head of Community

Reviews are our adrenaline; everything that we create is for the community, and receiving this message from one of you was the best mid-week motivation:

We love to hear from you, not just the good things but everything we can do better. Currently, we are working hard on the second edition of Building LLMs for Production, and we would love to know how your reading journey with the book has been. Help us make the second edition better by leaving us a review on Amazon!

Super excited to read your reviews for the book! (shamelessly expecting a lot of them!)

Learn AI Together Community section!

Featured Community post from the Discord

Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. It offers pure NumPy implementations of fundamental machine learning algorithms for classification, clustering, preprocessing, and regression. This repo is designed for educational exploration. Check it out on GitHub and support a fellow community member. If you found it helpful or have more resources, share it in the Discord thread!

AI poll of the week!

As expected, Google is still in the lead, but it’s very interesting to see traditional search engines being replaced by LLMs. But is there still a reliability concern for you from a user perspective? Let’s talk in the Discord thread!

Collaboration Opportunities

The Learn AI Together Discord community is flooding with collaboration opportunities. If you are excited to dive into applied AI, want a study partner, or even want to find a partner for your passion project, join the collaboration channel! Keep an eye on this section, too — we share cool opportunities every week!

1. Decorum_shadow is looking for someone interested in doing projects while learning. If you are actively involved in learning, reach out in the thread!

2. Perfectlord is looking for a few college students from India for the Amazon ML Challenge. If you are an engineering, undergraduate, or postgraduate student, connect with him in the thread!

Meme of the week!

Meme shared by ghost_in_the_machine

TAI Curated section

Article of the week

Let’s Create an Agentic Multimodal Chatbot from Scratch by Arthur Lagacherie

Have you ever wondered how to create a truly agentic multimodal chatbot from scratch? This article dives deep into the process, exploring the latest techniques and tools for building a chatbot that can understand and respond to various forms of input!

Our must-read articles

1. Exploring and Comparing Graph-Based RAG Approaches: Microsoft GraphRAG vs. Neo4j + LangChain by Shenggang Li

Curious about how different graph-based retrieval-augmented generation (RAG) methods stack up? This article explores and compares Microsoft GraphRAG and Neo4j with LangChain, highlighting their unique features and performance.

2. Boosting Performance: Mastering 2D Median Filtering with Running Histograms by Vincent Liu

This article explores an efficient algorithm for median filter based on the histogram proposed in the paper titled “A fast two-dimensional median filtering algorithm”¹. It is widely implemented in many image-processing libraries in different programming languages. We will demonstrate the implementation done in Python to ensure easy comprehension.

3. Top 5 Machine Learning Algorithms for Beginners by Ishaan Gupta

If you’re a beginner looking to understand the fundamentals of machine learning, this article is a must-read! It highlights the top 5 machine learning algorithms that every beginner should know. From linear regression to decision trees, these algorithms are the building blocks of ML. Whether you’re starting your journey or brushing up on the basics, this guide will help you grasp essential concepts and kickstart your learning!

4. Understanding the Transformer Architecture by Greg Postalian-Yrausquin

Are you curious about how modern AI models like GPT and BERT work? This article provides a comprehensive overview of the Transformer Architecture, breaking down its key components and mechanisms that have revolutionized natural language processing. Whether you’re a beginner or looking to deepen your understanding, this guide will help you grasp the fundamentals of transformers and their impact on AI.

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Published via Towards AI