From the course: AI Security and Responsible AI Practices by Pearson
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Delving into large language models (LLMs)
From the course: AI Security and Responsible AI Practices by Pearson
Delving into large language models (LLMs)
In this section we're going to be talking about the large language models in more detail. Large language models are part of generative AI. Here I have prepared a diagram that is going to help us view some of the process and then we're going to get into the details of each step. One of the more important things in developing large language models is that we need to have a very strong training data set and that training data need to include diverse text data sets. This is part of the transformer architecture which has only recently emerged since the last few years and it has made already significant changes in our society. Transformer architecture requires self-attention mechanism to assess the capabilities but also this kind of technologies they have various challenges and limitations associated with the technology and now we're going to go into some of those challenges and limitations. But first let's just discuss what are large language models. Large language models use deep…
Contents
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Learning objectives1m
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Introduction to generative AI2m 35s
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Delving into large language models (LLMs)8m 29s
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Exploring examples of AI applications we use on a daily basis8m 52s
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Going beyond ChatGPT, Midjourney, and Llama10m 1s
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Exploring Hugging Face, LangChain Hub, and other AI model and dataset sharing hubs5m 52s
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Modern AI model training environments7m 28s
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Introducing LangChain, templates, and agents10m 11s
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Fine tuning AI Models using LoRA and QLoRA9m 24s
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Introducing retrieval-augmented generation (RAG)4m 3s
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