Top Important LLM Papers for the Week from 15/01 to 21/01
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 …
This ML Project Gives You an Unfair Advantage
Author(s): Boris Meinardus Originally published on Towards AI. This could be the single best machine learning project that will take you from beginner to pro and give you that unfair advantage! This project got me an interview at Google DeepMind and taught …
Top Important Computer Vision Papers for the Week from 15/01 to 21/01
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Jerome Pasquero on Data Annotation: The Building Blocks of AIβs Future
Author(s): Louis-FranΓ§ois Bouchard Originally published on Towards AI. How is Data Transforming AI β The Whatβs AI Podcast (episode 27) Good morning, fellow AI enthusiasts! Itβs a fantastic day to dive into a newconversation thatβs close to my heart. Joining methis week …
Building a YoutubeGPT with LangChain, Gradio, and Vector Database
Author(s): Yanli Liu Originally published on Towards AI. Discovering the GenAI Development Stack through a Practical GuidePhoto by Tech Daily on Unsplash The world of Generative AI (GenAI) is evolving rapidly, making it easier and quicker than ever to develop AI-powered applications. …
AlphaGeometry: An Olympiad-level AI system for geometry
Author(s): Vishal Rajput Originally published on Towards AI. One of the signs of intelligence is being able to solve mathematical problems. And that is exactly what Google has achieved with its new Alpha Geometry System. And not some basic Maths problems, but …
Prompt Engineering Guide for Open LLM: Take Your Open LLM Application to the Next Level
Author(s): Timothy Lim Originally published on Towards AI. Introduction: Why do we need another guide? Numerous prompt engineering guides have already been written. However, the majority of them focus on closed-source models characterized by their immense capacity, robust reasoning capabilities, and comprehensive …
![Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 1]](https://i2.wp.com/miro.medium.com/v2/resize:fit:600/1*fMQPhi79ULwwPJnQHpK-Kg.png?w=600&resize=600,500&ssl=1 "Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 1]")
Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 1]
Author(s): Youssef Hosni Originally published on Towards AI. Mastering Instruction-Tuned LLMs: Strategies for Effective Prompt Engineering Have you ever wondered why your interaction with a language model falls short of expectations? The answer may lie in the clarity of your instructions. Picture …
Understanding Why There Is No Such Thing as βCorrect Probabilityβ in Data Science
Author(s): Peyman Kor Originally published on Towards AI. Probability Should be Conditioned on your Current State of Information Photo by Edge2Edge Media on Unsplash Intro In the field of data science, individuals frequently use the term βProbabilityβ. However, a fundamental concept needs …
Understanding Sample Sizes: Let Them Do the Heavy Lifting
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Top highlight This article is a continuation of the series on βMeasuring Marketing Effectivenessβ, in case you missed the previous parts, here is a quick recap: Β· Part 1: Themes: …
How To Run Your Fine-Tuned EasyOCR Model In Python
Author(s): Eivind Kjosbakken Originally published on Towards AI. After fine-tuning my EasyOCR engine in this tutorial on TowardsAI, I wanted to run my fine-tuned model in Python directly. This, however, proved to be quite difficult without access to all required files. I, …
From Algorithms to Impact: How to Communicate Data Science Results Across Audiences
Author(s): Pawel Rzeszucinski, PhD Originally published on Towards AI. Photo by Campaign Creators on Unsplash Introduction Working on a data science project is exciting. Understand the context, discuss domain-specific topics with domain experts, take the data by the horns, and tweak algorithms. …
5 Passive Income Ideas For Data Scientists
Author(s): Egor Howell Originally published on Towards AI. How Data Scientists can gain some extra incomeImage by author. Icon in image from: βhttps://www.flaticon.com/free-icons/youtube" title=βyoutube iconsβ Youtube icons created by Freepik β Flaticon. Letβs quickly define what we mean by βpassive income.β No …
Why LLama2 Pro 8B Is So Much Better Than LLama2 8b And Mistral 7B β Here is 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 Last week, Tencentβs ARC Lab announced the release of their llama2 pro training …
LLM Researcher and Scientist Roadmap: A Guide to Mastering Large Language Models Research
Author(s): Youssef Hosni Originally published on Towards AI. This comprehensive article serves as a roadmap for aspiring LLM researchers and scientists, offering a step-by-step guide to mastering the intricacies of Large Language Models (LLMs) to take your first step as a researcher …
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