Articles for category: AI Tools

March 6, 2025

ikayaniaamirshahzad@gmail.com

Llama 3.2 Vision

The Llama 3 series of models were a substantial contribution to the world of LLMs and VLMs. Because of Meta’s open-source efforts, the community of researchers and developers can build on top of the Llama family of models. In this article, we will take a closer look at the Llama 3.2 Vision models. Figure 1. Llama 3.2 Vision Demo. Converting receipt to JSON. We will cover the architecture of the Llama 3.2 vision model and focus on its inference and visual understanding capabilities. While doing so, we will employ the Unsloth library and build a simple Gradio application to instruct

March 6, 2025

ikayaniaamirshahzad@gmail.com

Data Machina #260 – by Carlos

Vision-Language Models Booming. VLMs are experiencing a boom. Large foundation models like OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini Pro 1.5 keep showing amazing vision-language capabilities and still dominate the benchmarks. But in a race to democratise VLMs at an efficient cost of operation -while maintaining performance- there is a new type of emerging, small, versatile, specialised VLMs that are becoming very powerful. And that is great! Start here: The best intro to VLMs, 2024. Probably – by far- the best introduction to VLMs. A mega paper in the format of a pdf book, published by Meta AI,

March 6, 2025

ikayaniaamirshahzad@gmail.com

Scaling Up, Costs Up: GPT-4.5 and the Intensifying AI Competition

GPT-4.5 marks an evolutionary advancement in OpenAI’s language model series, leveraging scaled pre- and post-training to refine pattern recognition, content creation, and factual precision. While this scaling approach yields tangible improvements in natural language processing, including enhanced tone consistency and reduced hallucinations, it introduces critical practical considerations for AI application teams. Notably, the model’s significantly higher cost and increased latency present considerable trade-offs, potentially limiting its viability for real-time systems and budget-constrained projects. Despite benchmark improvements in language-centric tasks, GPT-4.5 remains more of an iterative step than a revolutionary leap, especially in areas requiring complex reasoning. Therefore, teams should adopt

March 6, 2025

ikayaniaamirshahzad@gmail.com

A Spark of the Anti-AI Butlerian Jihad (on Bluesky)

Recently, a dataset of 1M Bluesky posts unexpectedly sparked backlash from the Bluesky community. This incident uncovered strong anti-AI sentiment among Bluesky accounts, leaving the AI community feeling unwelcome on Bluesky. This write-up reflects on what happened, hypotheses on why it happened, and how the data/AI community responded. • • • Bluesky, 26th November 2024: A developer shared about the one-million-bluesky-posts they had collected from Bluesky’s public firehose API. It contained post text, metadata, and information about media attachments like alt text, and was hosted on Hugging Face. However, many Bluesky accounts reacted with aggression. There were profanity-laced comments. There

March 6, 2025

ikayaniaamirshahzad@gmail.com

Need your feedback on my SaaS startup

Guys, need your help! I’m a founder of Startup – SaaS Starter Kit. I launched 3 months ago and my goal of posting here is to get feedback, customers and user testers. Here we go – http://startsaas.com/ It is a development boilerplate custom solution aimed to save ~$20’000 and 2.5-3 months of initial custom development of SaaS, CRM, HRM, and Project Management tool. Functionality modules: Authentication Dashboard User or Teams subscription model Admin mode support File storage management Internationalization Stripe integration Subscription management Responsive design DataGrid Source link

March 5, 2025

ikayaniaamirshahzad@gmail.com

Title Launch Observability at Netflix Scale | by Netflix Technology Blog | Jan, 2025

Part 2: Navigating Ambiguity By: Varun Khaitan With special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo Marques Building on the foundation laid in Part 1, where we explored the “what” behind the challenges of title launch observability at Netflix, this post shifts focus to the “how.” How do we ensure every title launches seamlessly and remains discoverable by the right audience? In the dynamic world of technology, it’s tempting to leap into problem-solving mode. But the key to lasting success lies in taking a step back — understanding the broader context before diving into solutions. This thoughtful

March 5, 2025

ikayaniaamirshahzad@gmail.com

Mongorestore Examples for Restoring MongoDB Backups – BMC Software

It is essential to have an efficient and reliable data restoration method after backing up data during the backup and restore process. Consider the differences: A properly configured restoration method means users can successfully restore the data to the previous state. A poor restoration method makes the whole backup process ineffective, by preventing users from accessing and restoring the backed-up data. The mongorestore command is the sister command of the mongodump command. You can restore the dumps (backups) created by the mongodump command into a MongoDB instance using the mongorestore command. In this article, you will learn how to utilize

March 5, 2025

ikayaniaamirshahzad@gmail.com

4-Bit Quantization with Lightning Fabric

Takeaways Readers will learn the basics of Lightning Fabric’s plugin for 4-bit quantization. Introduction The aim of 4-bit quantization is to reduce the memory usage of the model parameters by using lower precision types than full (float32) or half (bfloat16) precision. Meaning – 4-bit quantization compresses models that have billions of parameters like Llama 2 or SDXL and makes them require less memory. Thankfully, Lightning Fabric makes quantization as easy as setting a mode flag in a plugin! 4-bit Quantization 4-bit quantization is discussed in the popular paper QLoRA: Efficient Finetuning of Quantized LLMs. QLoRA is a finetuning method that