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2 diapositivas1:02EN
Matthew Berman· 26 jun 2026Anthropic 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
5 diapositivas13:28EN
Matthew Berman· 25 feb 2026Anthropic’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.DistillationAnthropicModelos y entrenamiento+2
Diapositivas1:16EN
Matthew Berman· 25 feb 2026Anthropic’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
3 diapositivas6:50EN
Matthew Berman· 12 feb 2025DeepScaleR: 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
4 diapositivas7:21EN
Matthew Berman· 26 jun 2023Testing 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 modelsEvaluacionesDistillation+2
5 diapositivas19:38EN
Matthew Berman· 9 jun 2023Orca: 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.DistillationAjuste finoSynthetic data+2