Polars Just Got Even Faster
Author(s): Lazar Gugleta Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Recently, I wrote about Polars vs Pandas and their advantages in the current Data Science industry, but a few days ago, we …
How to Build Your Own AI Fitness Coach Using Open-Source LLMs and Gradio:
Author(s): Anoop Maurya Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Victor Freitas on Unsplash In this tech-savvy age, why pay for a fitness trainer when you can build your own …
Vision Embedding Comparison for Image Similarity Search: EfficientNet vs. ViT vs. VINO vs. CLIP vs. BLIP2
Author(s): Yuki Shizuya Originally published on Towards AI. Photo by gilber franco on Unsplash Recently, I needed to research image similarity search. I wonder if there are any differences among embeddings based on the architecture training methods. However, few blogs compare embeddings …
#44 Why is Model Distillation the Hottest Trend in AI Right Now?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week we discuss the hottest trend in AI: Model Distillation, along with some interesting articles on RAG, Llama 3.2, and Bayesian methods. What’s AI Weekly This week, …
LLM-Powered Metadata Extraction Algorithm
Author(s): Vladyslav Fliahin Originally published on Towards AI. Introduction Source: Image generated by the author using AI (Flux AI) Did you know that businesses receive thousands of customer reviews daily, each containing valuable insights? Yet, making sense of this data and processing …
Train Neural Networks with Hard Activation Functions Using Target Propagation Part 1
Author(s): Greg Short Originally published on Towards AI. Image by the author using AI (ChatGPT 4) A brief look In the first tutorial of this series, we’ll go over how to train neural networks with hard activation functions using target propagation. A …
Optimizing AI for Human Preference: RLHF, DPO, and Soft Preference Labels
Author(s): Devashish Datt Mamgain Originally published on Towards AI. Image from author, inside image generated by Flux LoRA With their latest release of o1, Open AI touted the advantages of reinforcement learning in their research. They employed RL to improve intermediate steps …
TAI #120; OpenAI DevDay in Focus!
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie OpenAI’s 2024 DevDay event came amidst a backdrop of significant changes within the company, including executive departures and new fundraising efforts. Despite the turbulence, …
Towards Artificial General Intelligence (AGI) — and what is in store for us? (a hype story)
Author(s): Shashwat Gupta Originally published on Towards AI. Recently, there has been much debate about AI outside the tech industry, particularly concerning AI regulations in the US, UK, EU, and the two publicly signed AI safety letters last year: the Future of …
#43 MemoRAG, RAG Agent, RAG Fusion, and more!
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are diving into different RAG approaches, programming tips, community discussions, and some fun collaboration opportunities. Dive in and enjoy the read! What’s AI Weekly This …
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