The Clothes Have No Emperor: AI is Ready, but Humanity is Not
Author(s): Sophia Banton Originally published on Towards AI. “It hallucinates too much.” “I just used it to write an essay.” “It can’t reason.” “I just made my Studio Ghibli image.” These varied reactions underscore a fundamental truth: very few topics divide people …
An Essential Guide for Generative Models Evaluation Metrics
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Europeana on Unsplash Introduction Generative models are everywhere – The most popular being LLMs. However generative tasks span generating realistic photos (eg. GANs, Diffusion models), to creating text (eg. large language models), …
Why You May Not Need Fine-Tuning for Your Use Case!
Author(s): Vaishnavi Seetharama Originally published on Towards AI. In recent years, fine-tuning large language models (LLMs) like GPT-4 or later has become a popular trend among developers, data scientists, and enterprises. The idea of molding a powerful general‑purpose model to your exact …
Intro To AI Agents And LangGraph
Author(s): Teja Yerramsetty Originally published on Towards AI. If you want to leverage the full power of an LLM, the most effective way to do it is to incorporate the LLM in a software flow. This allows us to go beyond the …
From Pixels to Predictions: Building a Transformer for Images
Author(s): Vicki Y Mu Originally published on Towards AI. Convolutional neural networks have been the driving force behind almost every major breakthrough in computer vision — but what if they’ve been holding us back all along? In 2020, a team of researchers …
TAI #158: The Great Acceleration: AI Revenue, M&A, and Talent Wars Erupt as the Industry Matures
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie While LLM model releases have slowed down lately, the AI industry’s undercurrents of commercialization and consolidation were taken to the next level this week. …
Dense Passage Retrieval (2020) and Contriever (2021): The Models That Paved the Way for Future, Smarter LLMs
Author(s): Saif Ali Kheraj Originally published on Towards AI. Dense Passage Retriever (DPR) marked a turning point in open-domain question answering when it launched in 2020. It demonstrated that dense vector representations, learned through deep neural networks, can outperform traditional sparse retrieval …
AI Governance for Generative AI: A Framework for Organizations Across Maturity
Author(s): Mishtert T Originally published on Towards AI. This white paper is based on my observations and experiences, and is my view. Photo by Markus Winkler on Unsplash Executive Summary I initially wanted to jump straight into defining AI governance, but I …
The Deep Synergy Between Telecommunications and Machine Learning
Author(s): Mahmoud Abdelaziz, PhD Originally published on Towards AI. Where Signals Meet Intelligence This Image is AI generated Telecommunications and machine learning may seem like distant cousins — one rooted in signals, antennas, and physical channels, the other in data, prediction, and …
Implementing Tensor Contractions in Modern C++
Author(s): Luiz doleron | Luiz d’Oleron Originally published on Towards AI. Tensor contractions are of fundamental importance in modern artificial intelligence systems, playing a central role in the computation performed by the underlying linear algebra engines. Despite its relevance, there are only …
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