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- 📊 Designing Table Format for ML Workloads
📊 Designing Table Format for ML Workloads
🦾Plus: OpenAI launches GPT-4.5 🤖
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
🛠️A Step-by-Step Guide to Install DeepSeek-R1 with Ollama
⚡Practical Quantization in PyTorch
🔍 How to Fix a Badly Calibrated Machine Learning Model
🤖 OpenAI launches GPT-4.5
🚀Meta plans to release standalone Meta AI app
💨 Tencent’s new ‘fast-thinking’ model
💡 AI Tutorial: Find your next SaaS idea using AI research
🤖 AI Tools and Data Tools to checkout
Leveraging open-source MLOps tools can significantly enhance this process, providing flexibility, scalability, and cost-effectiveness. Here, we explore some of the leading open-source MLOps platforms, frameworks, and tools that are empowering developers and data scientists worldwide.
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DeepSeek-R1 is making waves in the AI community as a powerful open-source reasoning model, offering advanced capabilities that challenge industry leaders like OpenAI’s o1 without the hefty price tag. This cutting-edge model is built on a Mixture of Experts (MoE) architecture and features a whopping 671 billion parameters while efficiently activating only 37 billion during each forward pass.
Quantization is a cheap and easy way to make your DNN run faster and with lower memory requirements. PyTorch offers a few different approaches to quantize your model. In this blog post, we’ll lay a (quick) foundation of quantization in deep learning, and then take a look at how each technique looks like in practice.
In recent years the concept of a table format has really taken off, with explosive growth in technologies like Iceberg, Delta, and Hudi. With so many great options, one question I hear a lot is variations of "why can't Lance use an existing format like ...?"…In this blog post I will describe the Lance table format and hopefully answer that question. The very short TL;DR: existing table formats don't handle our customer's workflows.
Maybe you have a highly accurate model, but it's not calibrated, which means that you cannot use the predict_proba values for decision making. If that's the case we have some good news because there is a remedy in scikit-learn!
👨💻 Data Tools, Libraries
superglue (GitHub Repo)
superglue is a self-healing open source data connector that can be deployed as a proxy so developers always get the data they want in the format they expect.
Toolong (GitHub Repo)
Toolong is a terminal application for viewing, tailing, merging, and searching log files and JSONL.
Miracode (GitHub Repo)
Miracode is a readable version of Monocraft, a font based on the typeface used in the Minecraft UI.
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OpenAI launches GPT-4.5, its largest model yet, improving efficiency and performance without being classified as a frontier AI. OpenAI’s GPT-4.5 is now available as a research preview for ChatGPT Pro users, with a broader rollout planned. The model is more efficient than GPT-4, offering improved writing, programming, and problem-solving abilities.
Meta intends to debut a standalone Meta AI app during the second quarter. The service is currently only available to users via a website and the company's other apps. Users could potentially interact more deeply with the digital assistant if it were available as a standalone app. Meta also plans to test a paid subscription for Meta AI.
Chinese giant Tencent just released Hunyuan Turbo S, a new ‘fast-thinking’ AI designed for instant responses rather than deep reasoning — achieving 2x the speed while matching the performance of leading models on key benchmarks.
Say hello to Ideogram 2a, our fastest and most affordable text-to-image model to date -- optimized for graphic design and photography.
Now live on the Ideogram website, API, and partner platforms for all users.
— Ideogram (@ideogram_ai)
5:02 PM • Feb 27, 2025
Ideogram launched its 2a model, a major update to the text-to-image platform that significantly reduces generation time and cost while maintaining high-quality outputs—with optimizations for graphic design and photorealistic generations.
Figure is pushing up its timeline to bring its humanoid robots into the home, beginning Alpha testing this year thanks to improvements from its recently revealed Helix AI.
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Visit Perplexity and select "Deep Research".
Use the prompt: "You are a Market Research Specialist. Analyze [INDUSTRY] by identifying top 10 problems, severity levels, current solutions, and market size."
Transform your chosen problem into a product by prompting: "Design a SaaS solution for [problem], including essential features, tech stack, timeline, and revenue streams."
Get implementation details with: "Provide step-by-step coding instructions, including API specifications and deployment configurations."
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👀 Who are you smoking with?
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