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Areas Served: Learn AI Together — Towards AI Community Newsletter #23
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! One of the major roadblocks for those diving into AI now is not knowing where to start. I tried to make that part easier with this GitHub Repository …
When More is More? When For an LLM is Enough?
Author(s): Salvatore Raieli Originally published on Towards AI. In-context length is the LLM’s secret weapon, but with long-context is all changingPhoto by Angely Acevedo on Unsplash It is better to know some of the questions than all of the answers. — James …
Top Important LLM Papers for the Week from 29/04 to 05/05
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 …
Hypothesis Testing Simplified.
Author(s): Karan Kaul | カラン Originally published on Towards AI. Photo by Dan Cristian Pădureț on Unsplash Storytime Imagine this — You got a new personal high score of 98 on your favourite game. You feel proud of this achievement & you …
Exploring EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies: A Brief Overview
Author(s): Vincent Liu Originally published on Towards AI. A Real-Time Anomaly Detection Network surpasses all the existing networksSource: Image by falco from Pixabay Anomaly Detection is one of the critical applications in the manufacturing industry. It boosts productivity and saves costs. The …
K-Means From Scratch: How The Cluster Magic Works
Author(s): Francis Adrian Viernes Originally published on Towards AI. Reverse Engineering The SciKit ImplementationPhoto by Mel Poole on Unsplash Understanding how an algorithm works is interesting as it provides some insights into why an implementation may not be as one would expect. …
Unpacking and Utilizing Vertex with Google Earth Engine for Machine Learning.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Google Earth Engine for machine learning has just gotten a new face lift, with all the advancement that has been going on in the world of …
Build E2E CI/CD Pipeline using GitHub Actions, Docker & Cloud
Author(s): ronilpatil Originally published on Towards AI. Image by Author Hi folks, Are you ready to revolutionize your ML project workflow? Let’s implement an end-to-end CI/CD pipeline for a machine learning project using GitHub Actions, Docker, Docker Hub, and Render. From version …
Top Important Computer Vision Papers for the Week from 29/04 to 05/05
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, …
This AI newsletter is all you need #98
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. A collaboration between Nvidia and UPenn released DrEureka, a new open-source model …
Building Private Copilot for Development Teams with Llama3
Author(s): zhaozhiming Originally published on Towards AI. Many developers have likely used GitHub Copilot, a revolutionary development tool that significantly boosts productivity and gradually transforms programming habits. Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and …
Data Science Case Study — Credit Default Prediction: Part 2
Author(s): Saankhya Mondal Originally published on Towards AI. In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their …
Prompt Engineering Best Practices: LLM Output Validation & Evaluation
Author(s): Youssef Hosni Originally published on Towards AI. Validating Output from Instruction-Tuned LLMs Checking outputs before showing them to users can be important for ensuring the quality, relevance, and safety of the responses provided to them or used in automation flows. In …
Predicting Multiple Tokens at the Same Time: Inside Meta AI’s Technique for Faster and More Optimal LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Can Kolmogorov–Arnold Networks (KAN) beat MLPs?
Author(s): Vishal Rajput Originally published on Towards AI. Lately, it seems that the entire AI community has become about one and one thing only, LLMs. They are cool in their own way, but they are not the entire AI field. In all …
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