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  • ☑ 10 Mins AI Read: IBM AI Releases Granite 4.0 Tiny Preview & Meta AI Releases Llama Prompt Ops...

☑ 10 Mins AI Read: IBM AI Releases Granite 4.0 Tiny Preview & Meta AI Releases Llama Prompt Ops...

May 04, 2025

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Dive into the hottest AI breakthroughs of the week—handpicked just for you!

Top 5 AI News 🔥 

Open Source Model

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🧵 LLMs Can Learn Complex Math from Just One Example: Researchers from University of Washington, Microsoft, and USC Unlock the Power of 1-Shot Reinforcement Learning with Verifiable Reward

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🧵 JetBrains Open Sources Mellum: A Developer-Centric Language Model for Code-Related Tasks

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TL;DR

IBM AI Releases Granite 4.0 Tiny Preview: A Compact Open-Language Model Optimized for Long-Context and Instruction Tasks

TL;DR: IBM has released a preview of Granite 4.0 Tiny, a compact 7B parameter open-source language model designed for long-context and instruction-following tasks. Featuring a hybrid MoE architecture, Mamba-2-style layers, and NoPE (no positional encodings), it outperforms earlier models on DROP and AGIEval. The instruct-tuned variant supports multilingual input and delivers strong results on IFEval, GSM8K, and HumanEval. Both variants are available on Hugging Face under Apache 2.0, marking IBM’s commitment to transparent, efficient, and enterprise-ready AI.

⇧ 1,449 Likes

TL;DR

DeepSeek-AI Released DeepSeek-Prover-V2: An Open-Source Large Language Model Designed for Formal Theorem, Proving through Subgoal Decomposition and Reinforcement Learning

Meta AI has released Llama Prompt Ops, a Python package that automatically transforms prompts from other LLMs into formats optimized for Llama models. This tool enhances performance and reliability by applying model-aware transformations, simplifying prompt migration, and enabling developers to fine-tune interactions without manual prompt engineering. It's fully open-source and designed for flexibility and ease of use.

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Top 5 AI Coding Tutorials </>

🖥️ A Step-by-Step Tutorial on Connecting Claude Desktop to Real-Time Web Search and Content Extraction via Tavily AI and Smithery using Model Context Protocol (MCP)

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🖥️ How to Create a Custom Model Context Protocol (MCP) Client Using Gemini

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