7 Lessons From Fast.AI Deep Learning Course
Author(s): Mariya Mansurova Originally published on Towards AI. Photo by Sincerely Media on Unsplash Iβve recently finished the Practical Deep Learning Course from Fast.AI. Iβve passed many ML courses before, so that I can compare. This one is definitely one of the …
Summarize Podcasts with ChatGPT: Exploit AI to Extract Insights
Author(s): Riccardo Andreoni Originally published on Towards AI. Discover how ChatGPT can transform your podcast-listening experience. Learn to harness AI technology to distill hours of content into concise summaries, saving you time and enhancing your understanding. Have you ever found yourself engaged …
Building LLM Products is Hard – These are the 6 Key Challenges
Author(s): Aashish Nair Originally published on Towards AI. Why LLM-powered chatbots havenβt taken the world by storm just yetImage by Elias from Pixabay β Introduction β Challenge 1: Lack of an βAI Strategyβ β Challenge 2: Limited Data β Challenge 3: Privacy/Security …
Automating Emails using Python
Author(s): Mihir Gandhi Originally published on Towards AI. The job market has been quite rocky for some months now. Applications on company websites and job portals are often auto-rejected or receive no reply at all! Sometimes, networking and cold emails is the …
Deploy Your Companyβs Own Secure And Private ChatGPT with Azure OpenAI
Author(s): Stephen Bonifacio Originally published on Towards AI. By now, you are probably aware that itβs not a very good idea to use confidential company data with ChatGPT. Possible leakage of company trade secrets and IPs is a huge concern that even …
The LLM Advantage: Transforming E-commerce Search
Author(s): Maithri Vm Originally published on Towards AI. Photo by Nadine Shaabana on Unsplash The exceptional abilities of LLMs have been a remarkable feat in addressing a multitude of challenges across various business domains. The advanced outcomes pertaining to knowledge discovery using …
Building a Machine Learning Pipeline for the English Accents Classification
Author(s): Dmytro Iakubovskyi Originally published on Towards AI. A step-by-step guide for building the audio-based Machine Learning classification model for most common English accents and making it live through Hugging FacePhoto by Kane Reinholdtsen on Unsplash In our increasingly interconnected world, communication …
Object Oriented Programming (OOP) in Python β for Beginners (Part 1)
Author(s): MicroBioscopicData Originally published on Towards AI. In this first part of the series Object Oriented Programming (OOP) in Python – for Beginers, we'll embark on a journey to demystify the concept of classes and objects. We'll walk through the basics of …
How to Create LLaMa 2 Chatbot with Gradio and Hugging Face in Free Colab.
Author(s): Kris Ograbek Originally published on Towards AI. Thanks to Gradio, you build the chatbot UI in one line of code!Image created by the author with Leonardo.ai. Prompt: βA person in traditional Peruvian clothing, deep in conversation with a smart Llama, the …
The Future of Work: Upskill or Be Left Behind
Author(s): Srijay Gupta Originally published on Towards AI. AI-Generated Image by Fotor The rise of Artificial Intelligence is fundamentally transforming the world of work. Per the World Economic Forumβs 2023 jobs report, the next five years will see 83 million jobs being …
Simplifying Your Exploratory Data Analysis With These Four (4) Packages
Author(s): Francis Adrian Viernes Originally published on Towards AI. Four Essential Tools Every Data Scientist Should Have in Their ToolboxPhoto by Adam Εmigielski on Unsplash Itβs a great time to be a data scientist! What takes a lot of time to put …
How does βStable Diffusionβ Really Work? An Intuitive Explanation
Author(s): Oleks Gorpynich Originally published on Towards AI. βStable Diffusionβ models, as they are commonly known, or Latent Diffusion Models as they are known in the scientific world, have taken the world by storm, with tools like Midjourney capturing the attention of …
![Explaining Attention in Transformers [From The Encoder Point of View]](https://i1.wp.com/miro.medium.com/v2/resize:fit:875/0*WgIDQstqMkUesxFm?w=875&resize=875,583&ssl=1 "Explaining Attention in Transformers [From The Encoder Point of View]")
Explaining Attention in Transformers [From The Encoder Point of View]
Author(s): Nieves Crasto Originally published on Towards AI. Photo by Devin Avery on Unsplash In this article, we will take a deep dive into the concept of attention in Transformer networks, particularly from the encoderβs perspective. We will cover the following topics: …
Top 5 AI Data Security Threats in 2023
Author(s): Ahmed Fessi Originally published on Towards AI. Generative AIs, such as ChatGPT by OpenAI, have truly changed the game in how we interact with and perceive AI. Everyday tasks like writing, coding, and even job applications have taken a leap in …
AI is Just a Bad Student.
Author(s): Louis Bouchard Originally published on Towards AI. An analogy to explain how deep learning worksβ¦ Originally published on louisbouchard.ai, read it 2 days before on my blog! https://www.youtube.com/embed/VEhWgVyRINI When we talk about artificial intelligence, or AI, we tend to mean deep …
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