Simplifying LLM Development: Treat It Like Regular ML
Author(s): Ori Abramovsky Originally published on Towards AI. Photo by Daniel K Cheung on Unsplash Large Language Models (LLMs) are the latest buzz, often seen as both exciting and intimidating. Many data scientists I’ve spoken with agree that LLMs represent the …
The Data Science Mentor
Author(s): Alessandro Romano Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Susan Q Yin on Unsplash We all had a mentor. Sometimes, it is a parent or just someone who dropped …
Why are Data Scientists Afraid to Use Test Driven Development?
Author(s): Lazar Gugleta Originally published on Towards AI. Software engineering should be one of the primary skills of Data Scientists. This member-only story is on us. Upgrade to access all of Medium. Programming differs from Software Engineering and especially Data Science, but …
Google’s Gemma2-2B, A Compression Marvel
Author(s): Ignacio de Gregorio Originally published on Towards AI. How to Build a Small TitanSource: Generated by author using GPT-4o Google has reached a new milestone in AI by training a 2 billion parameter model, absolutely minute in today’s terms, that surpasses …
TensorFlow vs. PyTorch: What’s Better for a Deep Learning Project?
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Marius Masalar on Unsplash Deep learning. A subset of machine learning utilizing multilayered neural networks, otherwise known as deep neural networks. Allowing society to simulate the decision-making prowess the human brain possesses, …
Beyond LLMs: Compounds Systems, Agents, and Whole AI Products
Author(s): Adel Zaalouk Originally published on Towards AI. A Framework for Building Great AI Products Introduction The other day, I found myself reflecting on a classic concept that I was taught in business school, Maslow’s hierarchy of needs, a simple but powerful …
Why Polars Destroy Pandas in All Possible Ways for Data Scientists?
Author(s): Lazar Gugleta Originally published on Towards AI. One of the first Data Science libraries, Pandas, has been improving the lives of many developers across the globe, but Polars shows it is time to move on. Pandas needs no introduction, but this …
From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams
Author(s): Gift Ojeabulu Originally published on Towards AI. From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS …
5 Top Large Language Models & Generative AI Books
Author(s): Youssef Hosni Originally published on Towards AI. Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these …
Google Does it Again
Author(s): Ignacio de Gregorio Originally published on Towards AI. The New Maths OlympianSource: Generated by author using GPT-4o Google Deepmind has done it again. And this time, it’s a double win. They have presented AlphaProof and AlphaGeometry 2, models that have achieved …
How to Use Functional Programming Features in Python?
Author(s): Chiapeilie Originally published on Towards AI. Boost Code Efficiency, Maintainability, and Concurrency with These Essential TechniquesPhoto by Hitesh Choudhary on Unsplash Functional programming (FP) is a programming paradigm that emphasizes the use of pure functions for computation and data processing. Although …
Why Llama 3.1 405B Is So Much Better Than GPT-4o And Claude 3.5 Sonnet— Here The Result
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. the AI news in the past 7 days has been insane, with so much happening in the world of AI in this video, we’re diving into some of the latest AI developments from …
Auditing Predictive A.I. Models for Bias and Fairness
Author(s): Eera Bhatt Originally published on Towards AI. Recently, two authors published a paper with guidance for conducting audits on predictive A.I. models to improve their ethics. In our case, an audit is an inspection of a predictive model just to evaluate …
Important LLMs Papers for the Week from 15/07 to 21/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
Improving RAG Answer Quality Through Complex Reasoning
Author(s): Sachin Khandewal Originally published on Towards AI. TLDR; In this article, we will explain multi-hop retrieval and how it can be leveraged to build RAG systems that require complex reasoning We will showcase the technique by building a Q&A chatbot in …
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