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AnyModal is an open-source framework that simplifies multimodal AI development. It allows users to easily integrate different data types (text, images, audio) into LLMs, reducing boilerplate code and enabling quick adaptation. AnyModal has been used for tasks like LaTeX OCR, chest X-ray captioning, and image captioning, and is actively being expanded to include audio captioning and visual question answering.

After having soft launched Persumi in 2023, I quickly found myself wanting to explore better ways to promote the product. Unfortunately, most of digital marketing products are focused on three main areas: 1. Keyword bidding, e.g. Google Ads or Facebook Ads 2. Cold outreach, e.g. Apollo 3. Search Engine Optimisation (SEO) They each has its own pros and cons. As an indie developer without a huge budget, none of these tools work effectively. The Challenges Keyword bidding and targeted ads are...

The article compares six AI OCR tools: AWS Textract, Microsoft Azure Document Intelligence, Google Cloud Document AI, Rossum.ai, Super.ai and Eden.ai. It then does a deep comparison between Azure and Google, the two leading choices, in several aspects: initial setup, auto labelling data, text detection and recognition, custom labelling, auto-label accuracy, auto-label result verification, data training speed, data regions and compliance. The article concludes that Azure is the better choice.

A few weeks ago I soft launched an MVP - you are looking at it right now. In this post I'll talk about the features, the tech stack and the globally distributed infrastructure behind building this MVP, and of course, with a sprinkle of learnings too. The "MVP" Deciding what makes up an "MVP" is always interesting - I've heard some saying if the product isn't embarrassing you're releasing it too late, and also if the product is embarrassing, you're not gonna make it. For me, I've always had th...