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Articles by Alessandro Amenta
Job Hunting Is Annoying. Build an AI Assistant to Automate the Application process.
Build an AI-Job application assistant with OpenAI and Anthropic Job hunting can be soul-sucking. Scouring job boards, tailoring resumes, crafting cover letters, and reaching out to recruiters — it’s a full-time job on its own, minus the pay. It’s daunting, boring, and to be honest, a bit of an emotional rollercoaster. I genuinely feel it’s one of the most monotonous tasks ever. These days, whenever I face a boring task, my brain instantly goes: wait, why not let a language model do it for you?
Build an AI-powered Meditation Coach in Just 100 Lines of Code
A quick experiment with GPT-4 and ElevenLabs TTS It’s always exciting to play around with new tech and test out new idea/products we can create with it. Couple days ago, I decided to challenge myself to see if I could generate a human-like sounding guided meditation experience using just 100 lines of code. The goal? Simple: combine the capabilities of GPT-4 and ElevenLabs’ APIs to create a seamless meditation experience. This turned into quite a fun experiment.
Keeping up with ML Research: A Tool to Navigate the ML Innovation Maze
Cut Through the Clutter of ML Conferences with Semantic Search and Dynamic Visualization. In the fast-paced world of Machine Learning (ML) research, keeping up with the latest findings is crucial and exciting, but let’s be honest — it’s also a challenge. With a constant stream of advancements and new publications, it’s tough to pinpoint the research that matters to you.
AI at Scale: Automating Tasks through Bulk Prompt Processing
Simultaneously Handle Hundreds of Prompts Have you ever felt limited by the one-query-at-a-time approach of AI interactions, especially when dealing with tasks like translations, copywriting, or other repetitive tasks? It’s like having a super-fast car but being stuck in the slow lane. Well, let’s build a solution for that! In this article we build a small project that lets you fire up to 300 prompts at once and zips the answers straight to your Dropbox.
Building Your AI Podcast Assistant
Transform hours of listening into instant insights As a podcast enthusiast, especially ones on health or business, I often find myself overwhelmed with too many episodes and not enough time. Many podcasts, like the Huberman Lab, can stretch to three or four hours. It’s not just about finding the time; often, I’m only interested in certain parts of the conversation. That’s why I created a straightforward app using OpenAI models, LangChain, and Streamlit.
Progress is not linear
So, here's a thought I'm tossing around, mostly for my own sake. I mean, I write mainly for myself, as you might've guessed from my bio. But hey, we're all human here, and I'd imagine others can relate to what I'm rambling about. If you're one of them and you're reading this, I hope it brings a little something to your day. :) Alright, let's get into it. With time, and a little introspection, I've noticed I'm pretty tough on myself.
Build an AI Tool to Summarize Books Instantly
Get the gist of any book without reading it cover to cover. In this article, we’ll build a simple yet powerful book summarizer using Python, Langchain and OpenAI embeddings. AI models like GPT-3 and GPT-4 are incredibly powerful, but they have their limitations. One significant limitation is the context window, which restricts the amount of text the model can consider at any one time. This means you can’t just feed an entire book into the model and expect a coherent summary.
Squashing Doubts Through Evidence
You know, doubts? Yeah, I believe they can be squashed by building evidence that contradicts them. Ever since I can remember, I've been pondering about where our self-story, self-esteem, and confidence come from. I mean, where do our ideas about whether we can or can't do something originate, and how can we flip the script when they're not doing us any good?
Just listen, don't fix
When I was younger, whenever someone I cared about faced a problem, my brain instantly shifted gears to "fix-it" mode. But experience (and life's roller coaster of emotions) taught me that just being there, lending an ear, can make all the difference in the world. At 19, the pain of my first love not working out hit me hard. Opening up about it felt intimidating, almost as if I was admitting a weakness. But then, a friend, who I now consider my best friend, reached out.
Leetcode 2551. Put Marbles in Bags
The main goal is to distribute marbles, each with a different weight, into 'k' number of bags following some specific rules, and then calculate the maximum and minimum possible scores that can be achieved following these rules. The score is determined by the cost of each bag and we're trying to calculate the difference between the maximum and minimum score that can be achieved. The rules for distributing the marbles are: No bag can be empty - every bag needs to have at least one marble.
The Literary Landscape of Olga Tokarczuk
Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. Log in with Facebook Log in with Google The Literary Landscape of Olga Tokarczuk The Polish Review, 2021 DownloadDownload PDF Full PDF PackageDownload Full PDF Package A short summary of this paper 29 Full PDFs related to this paper Read Paper Loading Preview Sorry, preview is currently unavailable.
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