The Bumpy Road Ahead: AI and Copyright Law in Early 2024
Author(s): Tabrez Syed Originally published on Towards AI. The sweeping vistas of the Old West, rendered in vivid technicolor, first flickered across movie screens in 1939 with the release of Dodge City starring Errol Flynn. Eighty years later, cinematic frontiers are still …
Using LLMs to Build Explainable Recommender Systems
Author(s): Hang Yu Originally published on Towards AI. Photo by Sean Benesh on Unsplash In recent days, there’s no doubt that LLMs have become the most eye-catching superhero in the spotlight. While this powerful technique has raised a range of ethical concerns, …
OpenChat 7B An Open Source Model That Beats ChatGPT-3.5
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Another great mid-size LLM in the Open Source Arena! When it rains, it Pours! OpenChat brings a novel method to train large language models. It incorporates SFT (Supervised fine-tuning) and RLFT …
Tabular Data Exploration and Modelling with LLMs
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Exploring the way to perform tabular data science activity with LLMImage developed by DALL.E Large Language Models have been rising recently and will be like that in the upcoming year. The rise could …
Classification and Regression in Machine Learning: Understanding the Difference
Author(s): Davide Nardini Originally published on Towards AI. Arguably, one of the most important concepts in machine learning is classification. This article will illustrate the difference between classification and regression in machine learning. Image by Author If you’re new to the field …
The GPT Store: Is the Hype Justified?
Author(s): Jorge Alcántara Barroso Originally published on Towards AI. OpenAI has just launched the GPT Store, which is now available to ChatGPT Plus, Team (new!), and Enterprise users. The store offers a space where developers can create and distribute their custom GPT-based …
Is Mamba the End of ChatGPT As We Know It?
Author(s): Ignacio de Gregorio Originally published on Towards AI. The Great New Question Two researchers have made the boldest claim in years: throwing the biggest algorithmic breakthrough of the 21st century out the window. Named Mamba, it achieves what was once thought …
How to Quickly Set up a Benchmark for Deep Learning Models With Kedro?
Author(s): Anh Khoa NGO HO Originally published on Towards AI. Photo by AltumCode on Unsplash As a data scientist, I used to struggle with experiments involving the training and fine-tuning of large deep-learning models. For each experiment, I had to carefully document …
Learn AI Together — Towards AI Community Newsletter #7
Author(s): Towards AI Editorial Team Originally published on Towards AI. Welcome back to the community newsletter after a two-week break for the holidays! We are back with some cool news, interesting and helpful articles, and opportunities! Let’s get right into it. This …
Gradient Descent and the Melody of Optimization Algorithms
Author(s): Abhinav Kimothi Originally published on Towards AI. Source : Image generated using AI by Author If you work in the field of artificial intelligence, Gradient Descent is one of the first terms you’ll hear. It is the fundamental optimization algorithm used …
Psychopathology of Large Language Models: Foundation Models in a Neurobiological Perspective
Author(s): Alberto Paderno Originally published on Towards AI. Psychopathology of Large Language Models: Foundation Models in a Neurobiological Perspective Optimal Brain Damage, Synaptic Pruning, and the Problem of “Hallucinations” Artificial psychosurgery, modifying the architecture to improve the function — Image generated by …
Page by Page Review: Mixtral of Experts (8x7B)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A completely opensource model that could dominate the entrepreneurial scene in the field of Generative AI TLDR: Core points: Mixtral is a Sparse Mixture of Experts (SMoE)It has 8 expert models. …
Data Reliability 101: A Practical Guide to Data Validation Using Pydantic in Data Science Projects
Author(s): Shivamshinde Originally published on Towards AI. This article will explain Why data validation is needed for the Python code, How it’s done using the Pydantic library, and How to integrate it into your data science projects. Photo by Anthony Bressy on …
![Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]](https://i0.wp.com/miro.medium.com/v2/resize:fit:700/1*GsFRA_91_VibuBd2Hl_Keg.png?w=700&resize=700,500&ssl=1 "Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]")
Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]
Author(s): Youssef Hosni Originally published on Towards AI. Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into …
Frustrated by Creating Test Data?
Author(s): Renu Gehring Originally published on Towards AI. Generative AI to the rescuePhoto by Arif Riyanto on Unsplash I have recently been accepted as a writer for Towards AI, which is thrilling because the publication’s mission of “Making AI & ML accessible …
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