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What is RAG | When to Use it with LLMS

Large Language Model Slides - This slide describe Large language model, applications of llms, how LLMs is redefining code development, architecture and building blocks. It describe open source vs closed LLM like ChatGPT. It provide criteria to choose. Overview and slides also describe prompt engineering , tokenization and factors to consider while building applications using LLM. At last it describe process architectur, component architecture and how to estimate cost of LLM.
LLM ISSUES
LLM ISSUES
        
THREATS LLM USAGE
THREATS LLM USAGE
        
LLM CHALLENGES SLIDE
LLM CHALLENGES SLIDE
        
LLM ETHICAL ISSUES
LLM ETHICAL ISSUES
        
LLM UNCONTROLLED OUTPUT
LLM UNCONTROLLED OUTPUT
        
SLIDE49
SLIDE49
        
DATA OWNERSHIP ISSUES
DATA OWNERSHIP ISSUES
        
LLM GENERATED OUTPUT ISSUES TY
LLM GENERATED OUTPUT ISSUES TY
        
ENVIRONMENT IMPACT LLM GENAI
ENVIRONMENT IMPACT LLM GENAI
        

Large Language Model comments
To learn more refer to detail guide at LLM Slides




Large Language Model Articlelist

First few slides describe Large Language Model, application of LLM.

Later slide describe Open vs closed LLM and how to select one.

Multi Moel ML slide decribe how LLMs can understand and process information from multiple modalities.

Slides also describe challenges in using LLM such as - uncontrolled output, copyright for generated content, hallunication etc.

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Data-ownership-issues    Environment-impact-llm-genai    LLM Generated Output Issues Ty    Llm-challenges-slide    Llm-ethical-issues    Llm-issues    Llm-uncontrolled-output    Slide49    Threats-llm-usage   

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