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- Google Gemma 3 Models Get Small
Google Gemma 3 Models Get Small
Google's Gemma 3 models, now optimized with Quantization-Aware Training (QAT), deliver state-of-the-art performance...
Andres Vourakis
April 22, 2025
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Image source: Google
Google's Gemma 3 models, now optimized with Quantization-Aware Training (QAT), deliver state-of-the-art performance on consumer-grade GPUs. By reducing precision to int4, memory requirements drop significantly—Gemma 3 27B shrinks from 54GB to 14.1GB—enabling local deployment on devices like the RTX 3090 without sacrificing quality.
xAI Announces Grok 3 Family in API (2 min. read)
Image source: Grok
xAI’s new Grok 3 family is live on API, including Grok 3 Mini—designed for high performance at low cost. It’s the strongest non-reasoning model for law, finance, and healthcare tasks, offering impressive accuracy without the overhead of full general-purpose reasoning.
Our updated Preparedness Framework (5 min. read)
Image source: OpenAI
OpenAI has updated its “Preparedness Framework” to enhance safety measures against severe risks from advanced AI capabilities. The revision emphasizes clear criteria for prioritizing high-risk capabilities, sharper capability categories, scalable evaluations, and defined safeguard reports. This framework will continually be updated in line with emerging technological advancements and insights from internal and external experts.
Image source: Anthropic
Anthropic's "Values in the Wild" study analyzed over 300,000 real-world Claude conversations, uncovering 3,307 unique AI values. Claude consistently emphasizes helpfulness, professionalism, and transparency, while adapting values like "healthy boundaries" or "historical accuracy" based on context. The research offers a detailed taxonomy of AI values, highlighting how they align with human interactions and tasks.
print("Applications & Insights")An LLM-Based Workflow for Automated Tabular Data Validation (12 min. read)
Learn how to build an automated data validation workflow using LLMs to spot schema mismatches, missing values, and statistical anomalies in tabular data. The article walks through a Python-based pipeline combining pandas profiling, prompt engineering, and OpenAI’s GPT to generate human-readable validation reports. Perfect for anyone looking to streamline data quality checks without hardcoding every rule.
LangChain + MCP + RAG + Ollama = The Key To Powerful Agentic AI (12 min. read)
Learn how to build a multi-agent AI chatbot by combining LangChain, MCP, RAG, and Ollama. This setup enables agents to fetch real-time data via MCP, process it with RAG, and generate dynamic responses—ideal for applications like supply chain optimization and customer support.
Stanford Webinar - Agentic AI: A Progression of Language Model Usage (Video)
In this webinar, you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns, such as reflection, planning, tool usage, and iterative LM usage.
print("Tools & Resources")TRENDING MODELS
text-generation
microsoft/bitnet-b1.58-2B-4T
⇧ 17.4k Downloads
A compact 2B parameter transformer model optimized for efficiency. Suitable for various text generation tasks.
text-to-image
HiDream-ai/HiDream-I1-Full
⇧ 26.5k Downloads
Generates high-fidelity images from textual prompts. Designed for creative and artistic applications.
text-generation
agentica-org/DeepCoder-14B-Preview
⇧ 35.1k Downloads
A 14B parameter model tailored for code generation and understanding. Enhances developer productivity.
text-generation
THUDM/GLM-4-32B-0414
⇧ 4.7k Downloads
A 32B parameter model designed for general-purpose text generation. Excels in various NLP tasks.
TRENDING AI TOOLS
🧠 Grok Studio: Collaborative AI workspace for editing code, docs, and games.
🎬 Kling AI: Advanced AI for video (Kling 2.0) and image (Kolors 2.0) generation.
🖥️ Codex CLI: OpenAI's CLI for reading, editing, and running code with AI.
🗣️ Orpheus TTS: Expressive text-to-speech model for human-like audio.
That’s it for today!
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See you soon,
Andres