Forget about LLMs What About SLMs ?

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  • Опубліковано 4 лис 2024
  • 📹 VIDEO TITLE 📹
    Forget about LLMs What About SLMs
    ✍️VIDEO DESCRIPTION ✍️
    In this video, we’ll explore the fascinating world of Small Language Models (SLMs) and how they stack up against their larger counterparts, the Large Language Models (LLMs). SLMs are designed to be more efficient, with fewer parameters and a smaller footprint, making them ideal for deployment in resource-constrained environments like mobile devices and IoT systems. We'll dive into the core differences between SLMs and LLMs, examining how their size and architecture influence their performance, speed, and applicability in various tasks. While LLMs like GPT-3 boast billions of parameters and excel at generating highly nuanced and complex language, SLMs strike a balance between performance and efficiency, offering a practical solution where computational resources are limited.
    We'll also discuss the trade-offs involved when choosing between SLMs and LLMs. Large Language Models, with their massive parameter counts, tend to perform better on complex tasks, handling a wider range of language patterns and producing more coherent outputs. However, this comes at the cost of requiring substantial computational power, memory, and energy. In contrast, SLMs, though smaller in parameter size, are highly efficient and can be fine-tuned for specific tasks. This makes them particularly valuable in applications where speed and resource efficiency are crucial, such as in real-time processing on mobile devices or in environments where power consumption is a concern.
    🧑‍💻GITHUB URL 🧑‍💻
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    🔠KEYWORDS 🔠
    #LLM
    #LargeLanguageModel
    #LLMTemperature
    #NLP
    #NaturalLanguageProcessing
    #DataScience
    #MachineLearning
    #DataAnalysis
    #DeepLearning
    #LanguageModels
    #AI
    #ArtificialIntelligence
    #RankingAlgorithms
    #NeuralNetworks
    #DeepLearning
    #DeepNeuralNetworks
    #SLM
    #SmallLanguageModel

КОМЕНТАРІ • 4

  • @SriSaiSowmyaKotha
    @SriSaiSowmyaKotha 2 місяці тому

    Thank you for sharing this information

    • @NewMachina
      @NewMachina  2 місяці тому

      Glad it was helpful! Thanks for your feedback…

  • @ravishmahajan9314
    @ravishmahajan9314 2 місяці тому +1

    Do we have a SLM inference or a live demo chatbot so that i can check its capability?

    • @NewMachina
      @NewMachina  2 місяці тому

      Thanks for reaching out... I don't have a live demo you can access... but let me look around for one and if find something good I will reply here on this thread...