OpenAI May Announce 'Spud,' New Base AI Model For ChatGPT In AGI Push - NDTV Profit
OpenAI May Announce 'Spud,' New Base AI Model For ChatGPT In AGI Push NDTV Profit
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modelannouncechatgptI Talked to 500GB of Retail Data With Zero Domain Knowledge. AI Designed a Strategy I never expected
I Talked to 500GB of Retail Data With Zero Domain Knowledge. The AI Designed a Strategy I Didn’t Know to Ask For. The end of a single investigation: the AI’s planogram optimisation strategy with projected business impact — +10% total sales, +£86,424 annual revenue. 134.9 seconds. $1.66 in compute. The agent is already suggesting what to investigate next. Here is what happened. A retail chain had 500GB of transactional data stored in Apache Iceberg. Sales records, promotions, product catalogues, store layouts, inventory movements — the full picture of a multi-store retail operation spread across multiple tables with complex relationships. I connected this data source to an agentic data platform I had built. One connection. No schema mapping, no ETL pipeline, no data dictionary. The system a
Is 1-bit and TurboQuant the future of OSS? A simulation for Qwen3.5 models.
Simulation what the Qwen3.5 model family would look like using 1-bit technology and TurboQuant. The table below shows the results, this would be a revolution: Model Parameters Q4_K_M File (Current) KV Cache (256K) (Current) Hypothetical 1-bit Weights KV Cache 256K with TurboQuant Hypothetical Total Memory Usage Qwen3.5-122B-A10B 122B total / 10B active 74.99 GB 81.43 GB 17.13 GB 1.07 GB 18.20 GB Qwen3.5-35B-A3B 35B total / 3B active 21.40 GB 26.77 GB 4.91 GB 0.89 GB 5.81 GB Qwen3.5-27B 27B 17.13 GB 34.31 GB 3.79 GB 2.86 GB 6.65 GB Qwen3.5-9B 9B 5.89 GB 14.48 GB 1.26 GB 1.43 GB 2.69 GB Qwen3.5-4B 4B 2.87 GB 11.46 GB 0.56 GB 1.43 GB 1.99 GB Qwen3.5-2B 2B 1.33 GB 4.55 GB 0.28 GB 0.54 GB 0.82 GB submitted by /u/GizmoR13 [link] [comments]
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