How Do Face Filters Work?
Author(s): Vincent Vandenbussche Originally published on Towards AI. Examples of face filters applied to a few images using the method in this article. See References section for original images credits. Everyone knows Snapchat filters. Face filters are everywhere now in our apps: …
Chilibot: Powerful Text Mining for Biology, on the web
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. Predating the Large Language Model Era Yet Widely Used and Acclaimed Chilibot, a free web-based application for mining PubMed literature and developed well before the advent of large language models (LLMs), stands …
Exploring the Popularity of Random Forest Among GIS Data Experts
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 I was thinking of a unique way to introduce my article, since it is sort of a healthy obsession between two, how should I refer to …
This AI newsletter is all you need #101
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie We’ve secretly worked on something for the past year +, and we are now ready to share it with you. With contributions from over …
Magic Wands Don’t Exist: The Jagged Frontier of AI
Author(s): Pawel Rzeszucinski, PhD Originally published on Towards AI. The jagged frontier of AI sets us up for a challenging hike (source: DALL-E) The onset of generative AI (genAI) and the spectacular capabilities of large language models (LLMs) has opened the door …
Inside One of the Most Important Papers of the Year: Anthropic’s Dictionary Learning is a Breakthrough Towards Understanding 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 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Transformers in AI: The Attention Timeline, From the 1990s to Present
Author(s): Thiongo John W Originally published on Towards AI. Photo by Arseny Togulev on Unsplash What we call transformer architecture today has taken more than three decades to evolve into its present state. The following is an exploration into the three decades …
Midjourney Magic: 40 Essential SREF Random Styles — Part 5
Author(s): PromptDervish Originally published on Towards AI. How to combine styles for a brand new style of your own. 40 SREF style codes to get you started. Welcome to the fifth installment of our Midjourney Magic Cookbooks. In this segment, we have …
AI Market Dynamics: Open Vs. Closed, Direct Vs. Indirect
Author(s): Adel Zaalouk Originally published on Towards AI. The Generative AI bubble keeps getting bigger, and the landscape is more dynamic than ever, leaving no one behind, from the tech giants/the incumbents to new entrant startups. The net improvements in productivity and …
Assessing Bias in Predictive Models with PROBAST
Author(s): Eera Bhatt Originally published on Towards AI. PROBAST. No, this bast is not the tree bark that helps us make ropes. Instead, PROBAST stands for Prediction Model Risk Of Bias ASsessment Tool. But why do we need it? We live in …
The Power of Query Translation Techniques
Author(s): Mostafa Ibrahim Originally published on Towards AI. In this article, we delve into the power of query translation techniques, exploring how they enhance search accuracy and efficiency by transforming user queries into structured, understandable formats for search systems.Source: Dall-E In the …
Building & Deploying a Speech Recognition System Using the Whisper Model & Gradio
Author(s): Youssef Hosni Originally published on Towards AI. Speech recognition is the task of converting spoken language into text. This article provides a comprehensive guide on building and deploying a speech recognition system using OpenAI’s Whisper model and Gradio. The process begins …
All About Efficiency Metrics in ML
Author(s): Nandini Tengli Originally published on Towards AI. Recently, I have been working on optimizing ML models to improve their runtime efficiency on hardware. This article is a comprehensive list of popular efficiency metrics used while evaluating the efficiency of Machine Learning …
Build Rag With Llamaindex To Make LLM Answer About Yourself, Like in an Interview or About General Information
Author(s): Lakshmi Narayana Santha Originally published on Towards AI. Advanced RAG pipeline with Llamaindex for chatting with yourself From the day ChatGPT was introduced, the whole NLP/AI ecosystem was changed and came up with numerous new techniques to integrate the LLMs into …
LLMs Can Self-Reflect
Author(s): Vatsal Saglani Originally published on Towards AI. Exploring how we can evaluate LLM responses with LLMsImage generated by ChatGPT When working with LLMs, we’re often confused about the quality of output the LLM has generated. This is the case when we …
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