Updates and deep dives on running open-source models with OpenLLM Buddy—deployment, APIs, and keeping spend predictable.
--- On April 2, 2026, Google DeepMind dropped Gemma 4 — four open-weight models. The marketing machine roared. "Frontier capability." "Reasoning breakthrough." "Multimodal by defa…
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--- On April 2, 2026, Google DeepMind dropped Gemma 4 — four open-weight models shipped under Apache 2.0. No MAU caps. No acceptable-use policies. Full commercial freedom. This re…
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Google DeepMind released Gemma 4 on April 2, 2026, under the Apache 2.0 license — full commercial freedom, no MAU caps, no hidden restrictions. When paired with Ollama, you get a…
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What you'll build: A self-healing, multi-step customer support and data routing agent that triggers on incoming webhooks, parses structured data, calls external APIs via tools, an…
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You're three weeks into building a new AI feature. The prototype is working. The team is excited. Then your CTO forwards you the cloud bill with a single line: "Can you explain th…
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TL;DR: Gemma 4 26B-A4B scores 88.3% on AIME 2026 and 82.6% on MMLU Pro with only 3.8B active parameters per forward pass. Its native function calling, structured JSON output, and…
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