Streamlining Document Processing with AI Introduction Mistral recently introduced Mistral OCR, a powerful API that seamlessly converts PDFs and images into structured Markdown. They claim it sets a new standard in document understanding, offering advanced capabilities for handling tables, images, equations, and multilingual text — all while significantly streamlining the way you read, organize, and utilize complex […]
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Verifiable AI Answers for PDFs, Text, and Custom Content Introduction Anthropic recently released a powerful new feature called Citations. Currently available via the API only, Citations lets you attach documents — whether they’re plain text, PDFs, or custom-chunked content — and then receive verifiable references in the model’s responses. This boosts transparency in AI-generated answers, allowing you to trace
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Introduction On January 6th at CES, NVIDIA officially unveiled NVIDIA® Project DIGITS, describing it as a personal AI supercomputer that gives AI researchers, data scientists, and students access to the power of the NVIDIA Grace Blackwell platform. The announcement caught my eye because “personal AI supercomputer” isn’t a phrase you hear every day, and I
NVIDIA’s Project DIGITS: Bringing Petaflop-Scale AI to a Workstation Near You Read More »
Introduction While experimenting with NotebookLM, a tool released by Google that can, among other things, convert your data (research papers, YouTube videos, etc.) into conversation-style podcasts, I realized it would be great to automate podcast generation for the regular content we consume every day. As a next step, I checked if Google had released an
How to Turn Hacker News Stories into Podcasts with AI Read More »
Introduction In a previous post, I wrote about running local LLMs using Ollama and briefly touched on how we can use the Ollama API to make programmatic calls to models running on Ollama. In this post, we’ll build our first application using Python and Ollama. If you are new to Ollama and local LLMs, I
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Introduction After procrastinating for a long time about running LLMs locally, I finally decided to give it a try, and I chose Ollama to do it. In this post, I’ll share my experience of running these models on a MacBook Air M1 (8GB RAM). Additionally, I also tested them on a Ryzen 5650U Linux machine
How to Use Ollama: A Hands-On Guide to Local AI Models Read More »
Setting Up Your System and Hands-On with Anthropic’s “Computer Use” Introduction Anthropic recently announced Claude 3.5, introducing two new models: Sonnet and Haiku. While Sonnet boasts significant improvements in coding, Haiku focuses on efficiency. Perhaps the most intriguing development, however, is the introduction of a “computer use” capability. Currently in beta, this feature allows Claude
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Harnessing Generative AI to Bring Your Unique App Ideas to Life Introduction As a developer, when you have an idea for an app, the first step is to search for an existing solution. You might find something close, then evaluate: is it free, safe, and does it fit your needs? With development tools making app
Why Settle for Generic When You Can Create Custom? Read More »
What is a package manager ? Package manager is a utility that automates the process of installing, upgrading, and configuring dependencies in a programming environment. The popular package managers like pip, poetry, conda etc, download the dependencies from repositories like PyPI, and maintain specific versions of the same so that there are no conflicts when
Introducing UV: The Next Evolution in Python Package Management Read More »