Large-Language-Models-A-Revolutionary-Force-in-Artificial-Intelligence.pptx

[Audio] 1 THIS SLIDE REPRESENT ABOUT THE TOPIC NAME WHICH WAS CHOOSEN BY NAGEN, SUBRAT , NIHAR. AND THE TOPIC NAME IS LARGE LANGUAGE MODEL..

[Audio] 2. CONTENTS. Introduction to LLMs Evolution of LLMs How LLMs Work Key Components of LLMs Applications of LLMs Advantages of LLMs Limitations of Current LLMs Case Study:ChatGPT Future Of LLMs Ethical Considerations Prompt Engineering LLMs in Education LLMs in Healthcare Conclusion.

[Audio] 2. Introduction To Large Language Models(LLMs):.

Evolution Of LLMs:. Eliza(1967) Long short Term Memory(LSTM)(1997) Standford coreNLP Suite(2010) Google Brain(2011) Google Transformer Architecture(2017) OpenAI GPT-3(2020).

Types of LLMs:. 5.

[Audio] 3. How do Large Language Models work?. LLMs function by processing text data through a complex network of artificial neurons, learning to predict the next word in a sequence based on the preceding words..

[Audio] 3. Key Components of LLMs. Large language models are composed of multiple neural network layers. Recurrent layers, feedforward layers, embedding layers, and attention layers work in tandem to process the input text and generate output content. The embedding layer creates embeddings from the input text..

[Audio] 4. Applications of Large Language Models.

[Audio] 9. Advantages of LLMs. With a broad range of applications, large language models are exceptionally beneficial for problem-solving since they provide information in a clear, conversational style that is easy for users to understand..

[Audio] 9. Limitations of Current LLMs. Despite significant advancements, current LLMs still face several limitations that hinder their full potential..

A generative AI chatbot from OpenAI.. 01. ChatGPT:.

[Audio] 5. Challenges faced By Large Language Models:.

13.

[Audio] 7. The Future of Large Language Models. The future of LLMs holds immense promise, with continued advancements expected in their capabilities and applications..

[Audio] 6. Ethical Considerations in Large Language Model Development.

[Audio] 10. Prompt Engineering. Prompt engineering is a crucial aspect of interacting with LLMs, as the quality of the prompt directly influences the quality of the output..

LLMs in Education. 1. Personalized Learning. LLMs can create personalized learning plans tailored to individual student needs and learning styles..

LLMs in Healthcare. Diagnosis and Treatment. LLMs can assist in diagnosing diseases by analyzing patient data, medical records, and research literature..

[Audio] 8. Advancements in LLM Technology. Researchers and developers are constantly working on advancing LLM technology, exploring new architectures and training methods..

Conclusion:. Large Language Models have the potential to revolutionize various fields. They offer exciting possibilities for innovation, but also present significant challenges. By addressing ethical considerations and promoting responsible development, we can harness the power of LLMs for a better future..

21.

Thank You. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum..