⏰ Featured AIs: AI2 Releases OLMo 32B and Cohere Released Command A....

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Featured AI Update 🛡️🛡️🛡️

🔥 Allen Institute for AI (AI2) Releases OLMo 32B: A Fully Open Model to Beat GPT 3.5 and GPT-4o mini on a Suite of Multi-Skill Benchmarks

The Allen Institute for AI (AI2) has introduced OLMo 2 32B, the latest and most advanced model in the OLMo 2 series. This model distinguishes itself as the first fully open model to surpass GPT-3.5 Turbo and GPT-4o mini across a suite of widely recognized, multi-skill academic benchmarks. By making all data, code, weights, and training details freely available, AI2 promotes a culture of openness and collaboration, enabling researchers worldwide to build upon this work.

OLMo 2 32B’s architecture comprises 32 billion parameters, reflecting a significant scaling from its predecessors. The training process was meticulously structured in two primary phases: pretraining and mid-training. During pretraining, the model was exposed to approximately 3.9 trillion tokens from diverse sources, including DCLM, Dolma, Starcoder, and Proof Pile II, ensuring a comprehensive understanding of language patterns. The mid-training phase utilized the Dolmino dataset, which consists of 843 billion tokens curated for quality, encompassing educational, mathematical, and academic content. This phased approach ensured that OLMo 2 32B developed a robust and nuanced grasp of language...……

Super Important AI News 🔥 🔥 🔥

🚨 Allen Institute for AI (AI2) Releases OLMo 32B: A Fully Open Model to Beat GPT 3.5 and GPT-4o mini on a Suite of Multi-Skill Benchmarks

💡 Google AI Introduces Gemini Embedding: A Novel Embedding Model Initialized from the Powerful Gemini Large Language Model

🧲 Cohere Released Command A: A 111B Parameter AI Model with 256K Context Length, 23-Language Support, and 50% Cost Reduction for Enterprises

Just Released 🔥 🔥 🔥

We’re excited to announce the launch of our latest issue of Open-Source AI Magazine—your go-to resource for cutting-edge insights and exclusive interviews in the world of open source AI.

In this issue, you’ll discover: • Exclusive Interviews & Insights: Hear from industry leaders like Yam Marcovitz from Parlant and Animesh Singh from LinkedIn, and gain insights from top innovators at Microsoft, Intel and xAI. • Breakthrough Stories: Learn how a two-person team is revolutionizing LLM training with GPU kernel magic, along with inspiring stories of cost efficiency, community-driven innovation, and the future of AI in production. • Expert Perspectives: From leveraging community support to integrating open source solutions into existing systems, our content offers practical advice and visionary ideas that can help drive your projects forward.

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