Você é Dev e quer entender como criar aplicações baseadas em machine learning (ML)? Nessa newsletter eu regularmente explico conceitos, práticas e técnicas de ML para desenvolvedores software.
Platform | Substack | Pricing | Freemium | Publishes | Weekly |
---|---|---|---|---|---|
Issues | 47 | Subscribers | Read | ml4se.substack.com |
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Com os avanços recentes nos modelos linguísticos e no processamento de linguagem natural, os modelos de contexto longo têm gerado entusiasmo nas comunidades de pesquisa e desenvolvimento de aplicações baseadas em LLMs. Esses modelos são cap...
Não é novidade que modelos linguísticos proprietários como o GPT da OpenAI e o Gemini do Google são possivelmente as primeiras alternativas quando se começa a trabalhar no desenvolvimento de aplicações baseadas em LLMs.
Nos últimos anos, o progresso notável da IA pode ser amplamente atribuído aos esforços para ampliar os conjuntos de dados e modelos cada vez maiores. Os LLMs aumentaram de tamanho de meros bilhões de parâmetros há apenas cinco anos (GPT-2 t...
Parâmetros de um modelo de aprendizado de máquina são os valores internos que o modelo ajusta durante o processo de treinamento para minimizar o erro e otimizar o desempenho na tarefa específica.
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Nessa newsletter eu tento mastigar conceitos técnicos/teóricos da área de aprendizado de máquina para pessoas desenvolvedoras.
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