Google/DeepMind

Latest AI news, models and releases from Google/DeepMind. ['A2UI v0.9', 'AI Co-Scientist', 'AI Evaluator', 'AI Mode', 'AI Overviews', 'Alexa', 'AlphaEvolve', 'AlphaFold', 'AlphaGenome', 'AlphaQubit', 'Antigravity', 'Ask Maps', 'Assistant', 'Auto frame', 'BERT', 'BioBERT', 'Chinchilla', 'ClinicalBERT', 'Computational Discovery', 'Confidential GKE Nodes', 'Co-Scientist', 'Empirical Research Assistance', 'Era', 'ERA', 'Executive LLM', 'Farmscapes 2020', 'Flood Hub', 'frontier AI', 'Frozen v2', 'FunctionGemma', 'Gemini', 'Gemini 1.5 Flash', 'Gemini-1.5-pro', 'Gemini 1.5 Pro', 'Gemini 2.0 Flash', 'Gemini 2.0 Flash-Lite', 'Gemini 2.5', 'Gemini 2.5 Flash', 'Gemini-2.5 Flash', 'Gemini-2.5-Flash']

Applications 🇷🇺

Automating Text-to-SQL in WMS: Choosing a Local LLM Without GPU

A developer at the logistics company Aerosib-C automated the generation of SQL queries for invoicing using LLM models. Due to security requirements, local models were used, tested on a Linux server with 30 GB of RAM and no GPU. The best result was achieved by gemma4:26b, although response times reached tens of minutes. Coder models were outperformed by reasoning models. Plans include building an expert system for service classification.

DeepSeekDeepSeek Google/DeepMindGoogle/DeepMind Alibaba/QwenAlibaba/Qwen
Habr — хаб ИИ24.07 · 03:02

Mac Mini M4 Pro and OpenClaw: Testing Local LLM Inference

The article tests local LLM inference on a Mac mini M4 Pro with 48 GB RAM using OpenClaw and LM Studio. Three models are compared: google/gemma-4-26b-a4b-qat, qwen/qwen3.6-35b-a3b, and google/gemma-4-31b. Results show that MoE models like gemma-4-26b and qwen3.6-35b offer better speed and energy efficiency compared to the dense model gemma-4-31b.

AppleApple OpenAIOpenAI Google/DeepMindGoogle/DeepMind
Habr — хаб ИИ24.07 · 03:01
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