- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.

Together AI Together AI platform Source ↗

GAOct 13unverified

The AI.AGG function is generally available (GA)

The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.

Google Cloud BigQuery Source ↗

GAOct 13unverified

BigQuery generative AI functions now support the gemini-4-argon model

BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .

Google Cloud BigQuery Source ↗

PreviewOct 13unverified

Gemini 4 Argon in CodeMender (Preview)

CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .

Google Cloud Gemini Enterprise Agent Platform Source ↗

GAOct 13unverified

Gemini 4 Argon and Gemini 4 Argon Cyber Permissive

Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.

Google Cloud Gemini Enterprise Agent Platform Source ↗

GAOct 13unverified

On-demand state repartitioning is now generally available

On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .

Databricks Databricks Data Intelligence Platform Source ↗