Image from https://beta.dreamstudio.ai/dream “But the overall pattern is clear: in case after case, when a model can be created and tested, it tends to perform as well as, or better than, human experts making similar decisions. Too often, we continue to rely on human judgment when machines can do better.” — Andrew McAfee, Erik Brynjolfsson [1] The writer David Foster … [Read more...] about Part 1. Generative AI: Every Problem is an Information Problem
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Choosing The Right Language Model For Your NLP Use Case
Large Language Models (LLMs) are Deep Learning models trained to produce text. With this impressive ability, LLMs have become the backbone of modern Natural Language Processing (NLP). Traditionally, they are pre-trained by academic institutions and big tech companies such as OpenAI, Microsoft and NVIDIA. Most of them are then made available for public use. This plug-and-play … [Read more...] about Choosing The Right Language Model For Your NLP Use Case
Introduction to Diffusion Models for Machine Learning
This article was originally published on AssemblyAI and re-published to TOPBOTS with permission from the author. Diffusion Models are generative models which have been gaining significant popularity in the past several years, and for good reason. A handful of seminal papers released in the 2020s alone have shown the world what Diffusion models are capable of, such as beating … [Read more...] about Introduction to Diffusion Models for Machine Learning
DALL·E 2, Explained: The Promise And Limitations Of A Revolutionary AI
DALL·E 2 is the newest AI model by OpenAI. If you’ve seen some of its creations and think they’re amazing, keep reading to understand why you’re totally right — but also wrong. OpenAI published a blog post and a paper entitled “Hierarchical Text-Conditional Image Generation with CLIP Latents” on DALL·E 2. The post is fine if you want to get a glimpse at the results … [Read more...] about DALL·E 2, Explained: The Promise And Limitations Of A Revolutionary AI
Transformers And Multimodal: The Same Key For All Data Types
The world of Machine Learning is undoubtedly fascinating, constantly growing, and capable of touching the most diverse sectors, from medicine to space racing, from catering to big manufacturing. There are countless fields of application for this technology and just as many techniques that have been developed over the decades, but they all have one thing in common: … [Read more...] about Transformers And Multimodal: The Same Key For All Data Types
10 Leading Language Models For NLP In 2022
UPDATE: We have published the updated version of this article with the top 10 transformative LLM research papers from 2023. The introduction of transfer learning and pretrained language models in natural language processing (NLP) pushed forward the limits of language understanding and generation. Transfer learning and applying transformers to different downstream NLP tasks … [Read more...] about 10 Leading Language Models For NLP In 2022
Data Capitalism: Innovation, Extraction, Social Conscience
How to advance social capital in a world increasingly governed by surveillance capitalism? About a year ago, I read Atlas of AI by Kate Crawford, a brilliant analysis of the extractive processes that govern the field of machine learning, from environmental resource allocation to the harvesting of our political fabric to data privacy infringements. This article … [Read more...] about Data Capitalism: Innovation, Extraction, Social Conscience
Similarity-Based Image Search for Visual Art
Similarity-based image search, also known as content-based image retrieval, has historically been a challenging computer vision task. This problem is especially difficult for visual art, because it is less obvious as to what a metric of “similarity” should be defined as and who should set that standard for art. For example, when I upload a photo of a wall mural … [Read more...] about Similarity-Based Image Search for Visual Art
Unconstrained Chatbots Condone Self-Harm
WARNING. This post contains references to self-harm and suicide. It includes conversations between a human and DialoGPT, with the sole purpose of surfacing the danger of uncontrolled AI. If you or a loved one are dealing or have dealt with suicidal thoughts, I suggest skipping this article. In the context of an accelerating mental health crisis, Natural Language … [Read more...] about Unconstrained Chatbots Condone Self-Harm
Amazon Releases 51-Language Dataset for Language Understanding
Imagine that all people around the world could use voice AI systems such as Alexa in their native tongues. One promising approach to realizing this vision is massively multilingual natural-language understanding (MMNLU), a paradigm in which a single machine learning model can parse and understand inputs from many typologically diverse languages. By learning a shared data … [Read more...] about Amazon Releases 51-Language Dataset for Language Understanding