1. 21 Sep 2026

    The Post-training Process OpenAI Used for ChatGPT - O'Reilly

    Supervised fine-tuning (SFT) on human demonstrations; Training a reward model on human preference comparisons; Reinforcement learning with human ...

    www.oreilly.com ↗
  2. 17 Sep 2026

    Salesforce Launches Koa - Destination CRM

    The Koa reasoning model and training ... To post-train the model, Salesforce applied Supervised Fine-Tuning (SFT) and reinforcement learning ...

    www.destinationcrm.com ↗
  3. 16 Sep 2026

    Understanding DeepSeek V4.1 Flash, DeepMind's AlphaGenome Atlas and Muse

    The Sequence Learning ... There is another useful detail: DeepSeek reports that post-training retains supervised fine-tuning, reinforcement learning and ...

    thesequence.substack.com ↗
  4. 15 Sep 2026

    Salesforce, NVIDIA unveil CRM domain-specific reasoning model - CIO

    ... training corpus was designed to reflect ... Salesforce post-trained the model by applying Supervised Fine-Tuning (SFT) and reinforcement learning ...

    www.cio.com ↗
  5. 15 Sep 2026

    Build an AI-powered product tagging system with Amazon SageMaker serverless model ...

    In this walkthrough, we customize Qwen3-8B with supervised fine-tuning (SFT), then optimize it with reinforcement learning with verifiable rewards ...

    aws.amazon.com ↗
  6. 15 Sep 2026

    Build an AI-powered product tagging system with Amazon SageMaker serverless model ...

    In this walkthrough, we customize Qwen3-8B with supervised fine-tuning (SFT), then optimize it with reinforcement learning with verifiable rewards ( ...

    aws.amazon.com ↗
  7. 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 ↗
  8. 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 ↗
  9. 12 Sep 2026

    DeepSeek planned to retire V4-Pro for V4.1-Flash. They backed down in 45 hours - Medium

    The engineers used supervised fine-tuning, reinforcement learning and on-policy distillation, with no algorithmic changes. The training pipeline ...

    medium.com ↗
  10. 11 Sep 2026

    Baseten Adds DeepSeek-V4.1-Flash to Model APIs With 1M-Token Context - Unite.AI

    Post-training follows a standard supervised fine-tuning, reinforcement learning, and on-policy distillation sequence, with substantive changes ...

    www.unite.ai ↗
  11. 11 Sep 2026

    SenseNova-U1.5 unifies 8B multimodal model with native 4K output | AI Weekly

    The team says it will open-source training code covering supervised fine-tuning, reinforcement learning and multi-expert on-policy distillation.

    aiweekly.co ↗
  12. 11 Sep 2026

    Magic Matched DeepSeek V4 Pro Base Quality for $500K, Using 50 Times Less Compute

    For base models that have not yet undergone reinforcement learning or supervised fine-tuning, bpb loss is particularly important. Before RL training ...

    www.techtimes.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 21:25 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 21:25 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Mechanistic Interpretability — Google

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

34 items Polled 22 Sep, 21:25 UTC 200

RLHF — Google

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

36 items Polled 22 Sep, 21:25 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.