1. 15 Sep 2026

    Salesforce Unveils Koa, a CRM Reasoning Model on Nvidia Nemotron | AI Weekly

    The pipeline combined supervised fine-tuning with reinforcement learning and a method called "group relative policy optimization," aimed at multistep ...

    aiweekly.co ↗
  2. 15 Sep 2026

    Salesforce Debuts Koa Reasoning Model for Agentforce, Trained on Nemotron - Unite.AI

    For post-training, Salesforce applied Supervised Fine-Tuning and reinforcement learning with Group Relative Policy Optimization (GRPO), using ...

    www.unite.ai ↗
  3. 13 Sep 2026

    Bodhan AI and AI4Bharat advance foundational and open AI models for India with NVIDIA Nemotron

    The initiative aims to accelerate innovation and adoption of multilingual and multimodal AI solutions in the broader Indian language AI ecosystem, ...

    indiaeducationdiary.in ↗
  4. 10 Sep 2026

    Nvidia Makes Bold Move to Expand Global AI Empire - TradingView

    Atlassian plans to use Nvidia's Nemotron open models, datasets and tools to customize multimodal applications and enhance Rovo, its workplace AI ...

    www.tradingview.com ↗
  5. 08 Sep 2026

    Dealroom.co | Orange Logic embeds NVIDIA Nemotron in Agent Studio for governed AI ...

    ... multimodal AI to understand content, make decisions, and act within established enterprise controls. The platform allows agents to work across ...

    app.dealroom.co ↗
  6. 08 Sep 2026

    Orange Logic Brings NVIDIA Nemotron to Agent Studio, Advancing ... - Yahoo Finance Singapore

    ... AI capabilities customers can use to build and deploy ... With NVIDIA Nemotron open models, agents can apply advanced reasoning and multimodal AI ...

    sg.finance.yahoo.com ↗
  7. 08 Sep 2026

    Orange Logic Brings NVIDIA Nemotron to Agent Studio, Advancing Governed AI ... - Business Wire

    With NVIDIA Nemotron open models, agents can apply advanced reasoning and multimodal AI to that context to understand content, make decisions, and act ...

    www.businesswire.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 18:24 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 18:24 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 18:24 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 18:24 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 18:24 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 18:24 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 18:24 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 18:24 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 18:24 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 18:25 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 18:25 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 18:25 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 18:25 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 18:25 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

32 items Polled 22 Sep, 18:25 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.