Want to Learn Quantization in The Large Language Model?
Author(s): Milan Tamang Originally published on Towards AI. Want to Learn Quantization in The Large Language Model? 1. Image by writer: Flow shows the need for quantization. (The happy face and angry face image is by Yan Krukau, https://www.pexels.com/) Before I explain …
A Complete Guide to RAG
Author(s): Igor Novikov Originally published on Towards AI. If you haven’t heard about RAG from your refrigerator yet, you surely will very soon, so popular this technique has become. Surprisingly, there is a lack of complete guides that consider all the nuances …
A Visual Walkthrough of DeepSeek’s Multi-Head Latent Attention (MLA) 🧟♂️
Author(s): JAIGANESAN Originally published on Towards AI. A Visual Walkthrough of DeepSeek’s Multi-Head Latent Attention (MLA) 🧟♂️ Exploring Bottleneck in GPU Utilization and Multi-head Latent Attention Implementation in DeepSeekV2. Image by Vilius Kukanauskas from Pixabay In this article, we’ll be exploring two …
Retrieval Augmented Generation (RAG): A Comprehensive Visual Walkthrough 🧠📖🔗🤖
Author(s): JAIGANESAN Originally published on Towards AI. Retrieval Augmented Generation (RAG): A Comprehensive Visual Walkthrough 🧠📖🔗🤖 Photo by Andrea De Santis on Unsplash You might have heard of Retrieval Augmented Generation, or RAG, a method that’s been making waves in the world …
I Built an Interactive Decision Tree Plotter — This Is What I Learned
Author(s): Frederik Holtel Originally published on Towards AI. Source: bugphai on www.istockphotos.com When I learned about decision trees for the first time, I thought that it would be very useful to have a simple plotting tool to play around with and develop …
Deciding What Algorithm to Use for Earth Observation.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Deciding What Algorithm to Use for Earth Observation. Created by the author with DALL E-3 What to choose, what to choose, should you unleash your inner child and do the classic eenie meenie …
Excited To Bring You the E-book Version of “Building LLMs for Production”
Author(s): Towards AI Editorial Team Originally published on Towards AI. You asked. We listened. Many of you asked for an electronic version of our new book, so after working out the kinks, we are finally excited to release the electronic version of …
TAI #104; LLM progress beyond transformers with Samba?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we saw a wave of exciting papers with new LLM techniques and model architectures, some of which can quickly become integrated into …
How are LLMs creative?
Author(s): Sushil Khadka Originally published on Towards AI. If you’ve used any generative AI models such as GPT, Llama, etc., there’s a good chance you’ve encountered the term ‘temperature’. Photo by Khashayar Kouchpeydeh on Unsplash For starters, ‘temperature’ is a parameter that …
Meet HUSKY: A New Agent Optimized for Multi-Step Reasoning
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
A Comprehensive Introduction to Instruction Fine-Tuning for LLMs
Author(s): Youssef Hosni Originally published on Towards AI. Instruction tuning is a process used to enhance large language models (LLMs) by refining their ability to follow specific instructions. OpenAI’s work on InstructGPT first introduced instruction fine-tuning. InstructGPT was trained to follow human …
Pope Francis Talked About AI & Ethics at The G7
Author(s): Harriet Gaywood Originally published on Towards AI. Pope Francis Talked About AI & Ethics at The G7 Credit: Generated by Dall-E 3 This week, Pope Francis addressed the Group of Seven (G7) Summit in Southern Italy about AI and highlighted the …
Monkey Banana Problem in Prolog
Author(s): Ashani Sansala Kodithuwakku Originally published on Towards AI. Image by Gerd Altmann from Pixabay In my previous Prolog article, we explored fundamental concepts in Prolog and how Prolog stands out as the most popular language for writing symbolic AI programs. Building …
Introduction to Adversarial Attack In Computer Vision
Author(s): Vincent Liu Originally published on Towards AI. Source: image by author. Video source: DAVIS¹ Since we started to leverage the power of models in data science, the digital world has been evolving at an incredible speed. Nowadays we have a variety …
Chameleon Paper Explained
Author(s): Louis-François Bouchard Originally published on Towards AI. How to Build a Multimodal LLM like GPT-4o? These past weeks have been exciting, with the release of various revolutionary multimodal models, like GPT-4o or, even more interestingly, Meta’s open-source alternative, Chameleon. Even though …
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