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5 Papers You Can't-Miss: Reinforcement Learning
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author with @MidJourney Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with …
5 Papers You Can't-Miss: Reinforcement Learning
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Image by Author with @MidJourney Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with agent programs learning actions in an environment to minimize a loss function …
Trends in AI — April 2023 // GPT-4, New Prompting Tricks, Zero-shot Video Generation
Author(s): Sergi Castella i Sapé Originally published on Towards AI. GPT-4 has arrived; it’s already everywhere. ChatGPT plugins bring augmented LMs to the masses, new Language Model tricks are discovered, Diffusion models for video generation, Neural Radiance Fields, and more. Just three …
BloombergGPT: The First GPT for Finance
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Have we had enough of GPTs? Seems like no. Bloomberg just released a research paper detailing their latest breakthrough technology, BloombergGPTTM. It’s a large-scale generative artificial intelligence (AI) model that has …
Trends in AI March 2023
Author(s): Sergi Castella i Sapé Originally published on Towards AI. LLaMA from Meta, an embodied PALM-E model from Google, Consistency Models, and new OpenAI API endpoints plus juicy pricing for ChatGPT: 0.002$/1k tokens. Source: Zeta Alpha The fast-paced development of Large Language …
Trends in AI — March 2023
Author(s): Sergi Castella i Sapé Originally published on Towards AI. LLaMA from Meta, an embodied PALM-E model from Google, Consistency Models, and new OpenAI API endpoints plus juicy pricing for ChatGPT: 0.002$/1k tokens. Source: Zeta Alpha The fast-paced development of Large Language …
Pre-train, Prompt, and Predict — Part1
Author(s): Harshit Sharma Originally published on Towards AI. The 4 Paradigms in NLP (This is a multi-part series describing the prompting paradigm in NLP. The content is inspired by this paper (a survey paper explaining the prompting methods in NLP) (Source: Image …
Trends in AI — February 2023
Author(s): Sergi Castella i Sapé Originally published on Towards AI. Bing + ChatGPT, Google’s Bard, Claude, and LAION… ChatGPT keeps setting the course of Language Model’s applications. Generative audio sees massive progress (MusicLM, AudioLDM, SingSong…), a comeback of GANs for image synthesis, …
Trends in AI — 2023 Round-up
Author(s): Sergi Castella i Sapé Originally published on Towards AI. What’s next for Language Models, Reinforcement Learning, Computer Vision, and leading AI companies like OpenAI and Google? Image by Zeta Alpha. Prophecies of the third AI winter early in 2022 — or …
Machine Learning for Documents
Author(s): Sean Benhur Originally published on Towards AI. Photo by Romain Dancre on Unsplash Documents carry the essential source of vital information. Much of the structured and unstructured information of the enterprises is available as Documents. These are available in the form …
A Guide to NeurIPS 2022–10 Topics and 50 Papers You Shouldn’t Miss
Author(s): Sergi Castella i Sapé Originally published on Towards AI. 2672 main papers, 63 workshops, 7 invited talks, and finally, in person again. Language Models, Brain-Inspired research, Diffusion Models, Graph Neural Networks… NeurIPS comes packed with world-class AI research insights, and this …
Trends in AI — November 2022
Author(s): Sergi Castella i Sapé Originally published on Towards AI. Argo.AI shutdown, Jasper.AI, and Stability.AI get massive funding, FLAN-T5 LLM, Neural Audio Compression from Meta, You-only-live-once, Dreamfusion, the new MTEB benchmark for sentence embeddings, Imitation Learning for Urban Driving, and much, much …
A Simple Adjustment Improves Out-of-Distribution Detection for Any Classifier
Author(s): Ulyana Tkachenko Originally published on Towards AI. Authors: Ulyana Tkachenko, Jonas Mueller, Curtis G. Northcutt Original Image by Author Anyone who has tried training ML models on real-world datasets (not the perfectly curated data we work with in school) has probably …
How to Read Machine Learning Papers Effectively
Author(s): Youssef Hosni Originally published on Towards AI. Table of Content: Top highlight This member-only story is on us. Upgrade to access all of Medium. The field of machine and deep learning is evolving very fast, and there are new research outputs …
At the crossroads of Neuroscience, Data Science and Machine Learning — edition #1
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image created by StableDiffusion image generator using the title as the prompt Welcome to this bi-weekly/monthly newsletter, where I review and …
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