Command R with fine-tuning excels at enterprise use cases that matter most to businesses including tasks like summarization and research and analysis – making daily workflows more efficient.
LLMS
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Command R Fine-tuning Now Available at Fraction Cost
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Fine-tuning is now available with Command R! This achieves industry-leading performance at a fraction of the cost (up to 15x less) compared to larger models enabling enterprises to efficiently scale AI to production.
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New AI Observability Release with Enterprise LLM Support
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Meet our new release! With industry-first cross-environment AI observability, enterprise-grade open source LLM support, and real-time moderation and intervention, our new release is designed to tackle the trust, safety, and accuracy concerns holding your organization back
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Amdocs Transforms Telecom Support Using LLM-Based Billing Solutions
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@Amdocs is transforming customer experiences in #telecom contact centers using an #LLM-based solution for billing inquiries. Learn how Amdocs improved accuracy of #AI-generated responses and used NVIDIA NIM to reduce tokens consumed and query latency: https://
nvda.ws/3wgfCJ6 -

Yejin Choi Keynote at Data AI Summit on Commonsense AI
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Don't miss the #DataAISummit keynote from Yejin Choi, Professor + Sr. Research Director for Commonsense AI at AI2! We recently worked with AI2 to train their OLMo 7B, a SOTA LLM, on Databricks #MosaicAI. Don't miss great GenAI insights! Register now! https://
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LLMaM: Predict your target variable with an LLM
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Welcome to the era of LLMaM! (LLM as a Model) Forget about models like Random Forest trained on data, just ask an LLM to predict your target variable! In 2018, we were promised autoML with heavy feature engineering and grid search in all
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OpenAI’s Upcoming Releases: GPT-4.5, GPT-5, and New AI Agents
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Rumors are swirling around new or potential new OpenAI releases The list includes:
GPT-4.5
GPT-5
GPT-4.5 family (like Claude’s approach)
GPT2 Search engine More GPT support Agents Agent platform Drastic improvement on reasoning (including explainability) Drastic -

OpenAI API New Chatty Toggle and Model Spec Framework
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# New "Chatty" vs "No Yapping" toggle in OpenAI API and more upcoming I think @joannejang et al's new Model Spec is very thoughtfully designed and basically welcome it as the Three Laws of our times (in particular the Objectives/Rules/Defaults splits) But why is nobody talking
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Fine-tuning AI Models on Custom Work Data
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I'd love to see you finetune a model on your own work though I can help
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GPT-4 Regulatory Ringfencing and Latecomer Bias Critique
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i thought it was fairly obviously drawn to ringfence GPT-4 (at 10e25) – always the classic regulatory bias of "what we have now is fine but no more without my approval ok" when being a latecomer regulator
