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7 件
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スライド 2 枚1:02EN
Matthew Berman· 2026年6月26日Anthropic Accuses Alibaba-Linked Operators of Distilling ClaudeMatthew Berman · Forward FutureMatthew Berman discusses a 2026 allegation, restrictions on advanced models and his prediction about identity checks.AnthropicDistillationAI Regulation+1
スライド 5 枚13:28EN
Matthew Berman· 2026年2月25日Anthropic’s Distillation Allegations and the Debate Over AI Training DataMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s allegations against three Chinese AI labs, the criticism of its own training practices, and the geopolitical claims surrounding the dispute.DistillationAnthropicモデルと学習+2
スライド1:16EN
Matthew Berman· 2026年2月25日Anthropic’s Distillation Allegations Draw CriticismMatthew Berman · Forward FutureMatthew Berman examines reactions to Anthropic’s claims about model distillation and debates over training data.DistillationAI RegulationAI Safety
スライド 3 枚6:50EN
Matthew Berman· 2025年2月12日DeepScaleR: A Small Reasoning Model Tested on Competition MathMatthew Berman · Forward FutureMatthew Berman reviews a 1.5B model’s reported benchmark results and runs a quantized version locally on one AIME problem.Reinforcement LearningBenchmarksLocal inference+2
スライド 6 枚24:22EN
Matthew Berman· 2025年1月31日Dario Amodei on DeepSeek, AI Costs and Chip Export ControlsMatthew Berman, Jonathan Ross, David Sacks · Forward FutureMatthew Berman examines the Anthropic CEO’s 2025 essay, the limited evidence behind distillation allegations and the economics of model training.モデルと学習AI cost & performanceGeopolitics+2
スライド 4 枚7:21EN
Matthew Berman· 2023年6月26日Testing Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.Open-weight models評価(Evals)Distillation+2
スライド 5 枚19:38EN
Matthew Berman· 2023年6月9日Orca: Teaching a Smaller Model with GPT-4 ExplanationsMatthew Berman · Forward FutureMatthew Berman reviews Microsoft Research’s 2023 Orca paper and its approach to training a 13-billion-parameter model on detailed teacher responses.DistillationファインチューニングSynthetic data+2