Search results for "FINE"
Today
04:54

Perplexity Discloses Web Search Agent Post-Training Method; Qwen3.5-Based Model Outperforms GPT-5.4 on Accuracy and Cost

Perplexity uses SFT followed by RL with Qwen3.5 models, leveraging a multi-hop QA dataset and rubric checks to boost search accuracy and efficiency, achieving best-in-class FRAMES performance. Abstract: Perplexity's post-training workflow for web-search agents combines supervised fine-tuning (SFT) to enforce instruction-following and language consistency with online reinforcement learning (RL) via the GRPO algorithm. The RL stage uses a proprietary multi-hop verifiable QA dataset and rubric-based conversational data to prevent SFT drift, with reward gating and within-group efficiency penalties. Evaluation shows Qwen3.5-397B-SFT-RL achieving top FRAMES performance, 57.3% accuracy with a single tool call and 73.9% with four calls at $0.02 per query, outperforming GPT-5.4 and Claude Sonnet 4.6 on these metrics. Pricing is API-based and excludes caching.
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01:42

A certain CEX reached a settlement with the U.S. CFTC, paid a $500,000 fine, and was barred from providing unregistered services to U.S. customers.

Peken Global has agreed to pay $500,000 to the CFTC to resolve a civil lawsuit, because as an unregistered platform it illegally allowed U.S. residents to trade. The company did not admit the allegations, but agreed to avoid providing services to U.S. customers. The CFTC said that U.S. customers generated approximately $110 million in trading fees for it.
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01:16

Jump Trading Responds to Terraform Liquidation Trust's $4 Billion Lawsuit, Claims It Aims to Shift SEC Fine Liability

Jump Trading has responded to a lawsuit filed by Terraform Labs, calling it an attempt to shift responsibility for evading SEC penalties, and demanding dismissal of the related allegations. The lawsuit accuses Jump of market manipulation and fraud, seeking damages of $4 billion, but Jump contends that the lawsuit lacks merit and is time-barred.
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02:11

US social media platform X has paid EU fine of 120 million euros and submitted rectification plan

Gate News reports that on March 19, an EU Commission spokesperson for digital economy affairs, Thomas Rennier, confirmed that American social media platform X has paid a €120 million fine issued by the EU in December of last year before the deadline, and submitted a remediation plan regarding its "blue verification" feature. The spokesperson also stated that despite X paying the fine, the platform is still appealing the penalty.
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13:08

Tether introduces the BitNet LoRA framework, supporting large model training on mobile devices

Gate News report: On March 17, Tether's QVAC Fabric launched the world's first cross-platform LoRA fine-tuning framework for Microsoft BitNet (1-bit LLM), significantly lowering the VRAM and computational thresholds for large model training. The framework supports LoRA fine-tuning and inference acceleration on Intel, AMD, Apple Silicon M series, and mobile GPUs (including Adreno, Mali, and Apple Bionic).
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