#37 GraphRAG, SAM 2, Embeddings, Discord Chatbot, LSTM Project!

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, AI enthusiasts! This week, we dive into applied AI developments, fundamental concepts, real-world discussions, and more. Dive in and enjoy the read!

What’s AI Weekly

This week in What’s AI, I focus on the new hype in LLMs: GraphRAG. GraphRAG is a powerful extension to the Retrieval-Augmented Generation (RAG) stack, making a lot of noise thanks to Microsoft and LlamaIndex’s contributions. But the question remains: Should YOU be using it? That’s what I covered in this week’s issue. Read it here!

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

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Learn AI Together Community section!

Featured Community post from the Discord

Gere030199 has created Miao AI, a text and voice chatbot that can be used directly in your Discord Server. Miao can perform various automations such as in-depth web searches, image generation/modification, and analyzing attached files/images. It is also perfect for resumes, analysis, language learning, coding, math, and more! Check it out here and support a fellow community member. Share your thoughts and questions in the Discord thread!

AI poll of the week!

That’s what makes us a community: our shared love for AI. Beyond the hype, what do you think is the most essential concept/tool for anyone joining AI now? Tell us in the thread on Discord.

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. Mangoo1814 is using sklearn and TensorFlow to predict stock market prices. There are many things to test, such as weighing different TAs, implementing graphical formulas, and using LSTM and RNN with different data types. They are looking for someone to partner with, so if this sounds fun, get in touch in the thread!

2. Nicepheonix is looking for someone to collaborate with on a keyword detection project. If you can help, connect in the thread!

Meme of the week!

Meme shared by ghost_in_the_machine

TAI Curated section

Article of the week

Context Retrieval Optimization with Gaussian Mixture Model for Complex Queries by Vitaly Bulgakov

This article explores how GMM can enhance the efficiency of information retrieval, making it easier to tackle complex queries. It is a great read for AI enthusiasts and researchers who want to explore the future of context-aware systems.

Our must-read articles

1. Instruction Fine-Tuning Large Language Models for Summarization: Step-by-Step Guide by Youssef Hosni

This tutorial walks you through setting up your working environment, including downloading the necessary dependencies and loading the required dataset and LLM. It also demonstrates how to test the model using zero-shot inferencing, establishing a baseline for comparison.

2. SAM 2 (Segment Anything Model 2) is Amazing, But We Need to understand SAM 1 by JAIGANESAN

You might have seen the exciting news about SAM 2 from Meta, along with some amazing videos showcasing its capabilities. The Segment Anything Model (SAM) is indeed impressive and this article breaks down the parts of SAM.

3. Embeddings — The Blueprint of Contextual AI by Abhinav Kimothi

This article explains embeddings and how they are revolutionizing the way machines understand context, enabling more accurate and nuanced interactions. It is a must-read for anyone interested in the future of AI and natural language processing.

4. Explainable AI for CLIP: The Architecture Explanation and its Application for Segment Anything by Yuki Shizuya

Explainability is one of the crucial topics for AI models. Recent complicated AI tends to be a black box algorithm, making it difficult for humans to understand why the AI delivers those results. This article introduces the architecture of CLIP_Surgery and its application.

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