平台AI如何实现新功能

Platform:How AI is Enabling New Capabilities and FeaturesMike Shchelkonogov, Gabriel Michaud2Presented byMike ShchelkonogovCTOGabriel MichaudFounder & CEOAI Today4History of LLM1967Eliza1997LSTM2010StanfordCoreNLP2011Google Brain2020Google Transformer Architecture2017Open AI GPT-35Raise of LLM1967Eliza1997LSTM2010StanfordCoreNLP2011Google Brain2020Google Transformer Architecture2017Open AI GPT-3•What enables LLM•NLP•Transformers Architecture•Attention •Embedding•What distinguishes LLM•Pre trained on huge data sets•Exceptionally large number of parameters•Where LLM can be applied•Conversational AI•Understanding Sentiments•Machine Translation•Text Content Generation6What Are LLM Challenges And Limitations•Lack of Real Understanding•Generative Errors and Unreliable Information•Lack of Explainability•Fine Tuning Challenges•Difficulty in Handling Long-Term Context•Need for Massive Amounts of Data•Computational Resources•Ethical Concerns7What To Expect•LLM is just a one sample of transformer