◉GEMINI LABJP
●MEMORY — Memory Profiles in Memory Bank are now GA. A fixed schema means agents reach evolving information without an expensive search mid-session●SCOPE — Profiles are isolated by the scope you pass at ingest, and each schema-and-scope pair keeps a single profile as its source of truth●INGEST — The IngestEvents API reached GA, bringing smoother event streaming, memory revision controls, and metadata support●AUDIO — gemini-3.1-flash-tts-preview now streams through streamGenerateContent, cutting the wait before the first audio arrives●CLASSROOM — From August 10, Gemini in Classroom opens to K-12 and higher education students of all ages who already have access●SUNSET — Shutdown dates are close: image generation models on August 17, the Grok 4.1 family on the 20th, and gemini-robotics-er-1.6-preview on the 31st●MEMORY — Memory Profiles in Memory Bank are now GA. A fixed schema means agents reach evolving information without an expensive search mid-session●SCOPE — Profiles are isolated by the scope you pass at ingest, and each schema-and-scope pair keeps a single profile as its source of truth●INGEST — The IngestEvents API reached GA, bringing smoother event streaming, memory revision controls, and metadata support●AUDIO — gemini-3.1-flash-tts-preview now streams through streamGenerateContent, cutting the wait before the first audio arrives●CLASSROOM — From August 10, Gemini in Classroom opens to K-12 and higher education students of all ages who already have access●SUNSET — Shutdown dates are close: image generation models on August 17, the Grok 4.1 family on the 20th, and gemini-robotics-er-1.6-preview on the 31st
TAG

Gemma

3 articles
← Back to all tags
Related:
Gemma 42Ollama2local LLM2Gemini2API1premium1Windows1gemma-41open-source1edge-ai1moe1multimodal1
⟐ Gemini Dev/2026-06-24Intermediate

Folding a Local Gemma 4 into Daily Work — Practical Notes on the Ollama API and Response Speed

Taking a local Gemma 4 you can now run interactively and folding it into real work: how to hit Ollama's local API from a script, tricks to improve perceived response speed, and a two-tier fallback that automatically routes to the cloud Gemini API — code included.

⟐ Gemini Dev/2026-06-24Beginner

Running Gemma 4 Locally on Windows — A Hands-On LLM in Two Commands with Ollama

How to run Google's lightweight open model Gemma 4 locally on a Windows laptop. With Ollama, you go from install to running in effectively two commands. Plus how to split work between the cloud Gemini API and a local Gemma.

⬡ Gemini Advanced/2026-04-09Advanced

Gemma 4: From Edge E2B to Cloud 31B—Choosing the Right Model and Implementation Patterns

Comprehensive exploration of Google DeepMind's Gemma 4 family (E2B/E4B/26B A4B/31B). Master MoE architecture, 256K context windows, native thinking mode, and multimodal capabilities. Learn edge deployment strategies, production implementations, and fine-tuning best practices.