Um podcast sobre inteligência artificial de uma forma simples. Explicando algoritmos e mostrando como ela está presente no nosso dia a dia.
Publishes | Weekly | Episodes | 82 | Founded | 3 years ago |
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Language | Portuguese | Number of Listeners | Category | Technology |
Fala galera, continuando a serie de episódios sobre PEFT, nesse episoódio eu falo sobre tecnicas de otimização de inferência em LLMs. more
Fala galera, esse é um primeiro episódio de uma série de episódios sobre PEFT, Parameter Efficient Fine Tuning. Nele eu falo sobre LoRA e QLoRA, que são 2 métodos muito importantes e amplamente utilizados que possibilitam o treinamento de LLMs bem ma... more
Fala galera, nesse expiódio eu falo sobre Retrieval Aware Fine Tuning (RAFT), um paper que propos uma nova técnica que utiliza tanto domain specific fine tuning quanto RAG pra melhorar a capacidade de recuperação da informação dos LLMs. more
Fala galera, nesse episódio eu explico como a gente consegue escalar a janela de contexto de um LLM pra mais de 1 milhão de tokens usando Ring Attention. Além disso eu discuto se a abordagem usando RAG está morta com esses avanços na janela de contex... more
Fala galera, nesse episódio eu recebi o André, ele é AI expert na IBM e a gente falou bastante sobre como usar IA pra resolver diversos problemas na industria. more
Fala galera, nesse episódio eu falo sobre Mixture Of Experts e mais espeicificamente sobre o Mixtral, que hoje é o melhor LLM open source disponível e ele também é melhor que ChatGPT 3.5 e o Gemini Pro. more
Fala galera, na versão em ingles do podcast eu entrevistei o Sergei e a gente falou bastante sobre NLP e mais especificamente o problem de Named Entity Recognition (NER). O Sergei e o time dele na NuMind publicaram um artigo sobre o modelo fundamenta... more
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Apple Podcasts | #99 | Brazil/Technology |
Listeners, engagement and demographics and more for this podcast.
Listeners per Episode | Gender Skew | Engagement Score | |||
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Primary Location | Social Media Reach |
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Vida com IA launched 3 years ago and published 82 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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