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, Maslowβs 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, itβs 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 Sonnetβ Here The Result
Author(s): Gao Dalie (ι«ιη) 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, weβre 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 …
Top Important Computer Vision Papers for the Week from 15/07 to 21/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, …
RouteLLM: How I Route to The Best Model to Cut API Costs
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. large language models have shown amazing capabilities in a variety of tasks, but there is a big difference in their cost and capabilities. Claude 3 Opus, GPT-4, and others are high in performance, …
Building Visual Questioning Answering System Using Hugging Face Open-Source Models
Author(s): Youssef Hosni Originally published on Towards AI. Visual Question Answering (VQA) is a complex task that combines computer vision and natural language processing to enable systems to answer questions about images. In this technical blog, we explore the creation of a …
6 Years of Studying ML in 16 Minutes
Author(s): Boris Meinardus Originally published on Towards AI. I have been studying machine learning for the past 6 years β here is my journey. I have been studying machine learning for the past 6 years, in which I worked as an ML …
Fine-Tuning and Evaluating Large Language Models: Key Benchmarks and Metrics
Author(s): Saif Ali Kheraj Originally published on Towards AI. Figure 1: Generative AI Project Lifecycle by Author (Referred from deeplearning.ai) In generative AI, we must first define the problem statement. Then, select a model accordingly. We must then select the model that …
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