(Part II) Fostering Criminal Justice with Data Science
Author(s): Vincent Liu Originally published on Towards AI. Stories behind the four thousand arrests in DC Source: Official NIBRS Website An Analysis Continued: Explorative Data Analysis In the last blog post, we first-time met the UCR 2021 DC Arrest data. Now, we …
What you must know (TLDR):
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. What are embeddings? OpenAI just announced text-embedding-ada-002. This model replaces 5 previous best-performing embedding models and is available today through embeddings API! The endpoint for the AI will be /embeddings curl …
2022: A Year Full of Amazing AI papers — A Review 🚀
Author(s): Louis Bouchard Originally published on Towards AI. A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. While the world is still recovering, research hasn’t slowed …
In-Context Learning with Transformer-Based Neural Sequence Models.
Author(s): Jair Ribeiro Originally published on Towards AI. Uncovering the Implicit Implementation of Standard Learning Algorithms in Neural Sequence Models. During my Sunday reading this week, I found this research paper which explores the hypothesis that transformer-based neural sequence models can implicitly …
Pre-train, Prompt, and Predict — Part2
Author(s): Harshit Sharma Originally published on Towards AI. 2 step approach to Prompting (This is Part 2 of 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 …
Google Says You Don’t Need Doctors! I have doubts
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. An ML-based approach to better characterize lung diseases. Understanding the complex interplay between genetics and the environment can help us better predict and prevent diseases. To achieve this understanding, large national …
Fixing SimCLR’s Biggest Problem — BYOL Paper Explained
Author(s): Boris Meinardus Originally published on Towards AI. How BYOL introduced the new SOTA idea of all modern Self Supervised Learning frameworks. SimCLR successfully implemented the idea of Contrastive Learning and, back then, achieved a new state-of-the-art performance! Nevertheless, the idea has …
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 …
Can Contrastive Learning Work? — SimCLR Paper Explained
Author(s): Boris Meinardus Originally published on Towards AI. A comprehensive summary of the SimCLR framework and its important findings. In my last blog post, we talked about the goal of representation learning, specifically using Self-Supervised Learning. We then came up with the …
The Creator of the Travel Time Prediction Algorithm Used in Google Maps!
Author(s): Louis Bouchard Originally published on Towards AI. Forget PIP, Conda, requirements.txt! Use Poetry Instead And Thank Me Later Bex T. in Towards AI Pain-free dependency management is finally here·8 min read·Jun 24 1.3K 16 … Read the full blog for free …
The ChatGPT Code Interpreter Is Finally Open. How Exactly Does It Work? Here’s A Tutorial
Author(s): The Tech Insider Originally published on Towards AI. ChatGPT and Code Interpreter A few days ago, OpenAI announced that it was making the official plugin Code Interpreter available to all ChatGPT Plus users via a Beta panel in the settings within …
Gradient Checkpointing
Author(s): Harshit Sharma Originally published on Towards AI. To “scale” new heights in model training Gradient Checkpointing (aka Re-compute technique/activation checkpointing) is an approach that trades compute for memory and is helpful in scenarios where the available GPU memory is not enough …
4 Things to Know about Large Language Models
Author(s): Harshit Sharma Originally published on Towards AI. Amidst the LLM hype, there are interesting “things” to know about the LLMs, as mentioned in a recent paper by Samuel from Anthropic: The paper can be found at https://arxiv.org/pdf/2304.00612.pdf There are 8 things …
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 …
Popular posts
Updates
Recent Posts
