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Areas Served: TAI #108:Conflicting Developments in the AI Regulation Debate
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The ongoing debate over AI regulation gained focus again this week, with both positive and negative newsflow for the future of open-source AI. There …
Towards AI Tested Launchpad by Latitude.sh: A Container-based GPU Cloud for Inference and Fine-Tuning
Author(s): Towards AI Editorial Team Originally published on Towards AI. Latitude.sh’s Launchpad At Towards, we’re particularly interested in how Latitude.sh’s platform supports machine learning models, especially for inference and fine-tuning large language models (LLMs). Our team recently explored their latest offering, Launchpad …
TimesFM — Google’s Foundational Model for Time Series Forecasting
Author(s): Satyajit Chaudhuri Originally published on Towards AI. Introduction Imagine if you could forecast future trends with the same ease that language models understand text. Whether you’re predicting stock prices, healthcare demands, or optimizing logistics, accurate time-series forecasting is crucial. Traditional methods …
On Stochastic Parrots: Paper Review
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by David Clode on Unsplash Introduction A stochastic parrot is a metaphor often used to describe Artificial Intelligence, specifically language models. Parrots are known to mimic human language. Parrots learn to speak human …
How Nvidia trained Nemotron, better agents, and more #31
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We are excited to announce that ‘Building LLMs for Production’ is now also available to readers across the globe on the O-Reilly learning platform. But that’s not all. …
GraphRAG Analysis, Part 1: How Indexing Elevates Knowledge Graph Performance in RAG
Author(s): Jonathan Bennion Originally published on Towards AI. TLDR: Knowledge graphs may not significantly impact context retrieval — all knowledge graph RAG methods I examined showed similar context relevancy scores to those of FAISS (~0.74). Neo4j withOUT its own index achieves a …
AI Trends on TED
Author(s): GaryGeo Originally published on Towards AI. AI TED Talk Trends — Source: Author Introduction: The AI Zeitgeist Through the TED Lens If you are like me, you turn to TED videos to satisfy your curiosity or to be educated on innovative …
TAI #107: What do enterprise customers need from LLMs?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI saw hints of progress in multi-modal LLMs outside of OpenAI and Google, with SenseNova 5o from SenseTime and Kyutai unveiling …
Learn Anything with AI and the Feynman Technique
Author(s): Hesam Sheikh Originally published on Towards AI. study any concept in four easy steps, by applying AI and a Noble Prize winner approachImage created by GPT-4o. When was the last time you stumbled upon a difficult subject to learn? Or when …
But What Is Inside an AI Accelerator?
Author(s): Aditya Mohan Originally published on Towards AI. Photo by Google DeepMind on Unsplash Heterogeneous computing refers to machines with more than one “kind” of computing “core”. The computing cores can be CPUs, GPUs, TPUs, and many other accelerators that are being …
HumanPlus: Robots That Imitate You
Author(s): Ignacio de Gregorio Originally published on Towards AI. Is Shadowing the Real Unlocker?Generated by author using GPT-4o A team of Stanford researchers has proposed a full-stack method for robotics training called HumanPlus. In this method, robots learn by imitating us directly …
Inside 4M-21: Apple Small Model that Works Across 21 Modalities
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E 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. …
Langchain + Graph RAG + GPT-4o Python Project: Easy AI/Chat for your Website
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. This is Graph and I have a super quick tutorial showing how to create a fully local chatbot with Langchain, Graph RAG and GPT-4o to make a powerful Agent Chatbot for your business …
AdaBoost Explained From Its Original Paper
Author(s): Christian Guerra Originally published on Towards AI. This publication is meant to show a very popular ML algorithm in complete detail, how it works, the math behind it, how to execute it in Python and an explanation of the proofs of …
Meta’s Chameleon, RAG with Autoencoder-Transformed Embeddings, and more #30
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week we are diving into some interesting discussions on transformers, BERT, and RAG, along with some interesting collaboration opportunities for building a bot, a productivity app, and …
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