Evolving Trends in Prompt Engineering for LLMs with Built-in Responsible AI Practices

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Discover the evolution of Prompt Engineering for Large Language Models (LLMs) and their Built-in Responsible AI Practices with Jayachandran Ramachandran and Rohit Sroch. Join us for an insightful discussion titled "Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices." The advent of LLMs like GPT, Llama, PaLM has revolutionized AI, offering unique capabilities in enterprise search, summarization, conversational bots, and more. Organizations harness these LLMs through prompt engineering and fine-tuning, but challenges persist. In this talk, explore the cutting-edge dimensions of LLMs, including Prompt Engineering, Evaluation, Model Optimization & Deployment, and Responsible AI, and gain valuable insights into the evolving landscape of AI technologies.

#LargeLanguageModels #PromptEngineering #ResponsibleAI #AIInnovation #JayachandranRamachandran #RohitSroch #EnterpriseSearch #ConversationalBots #AIChallenges #NLP #MachineLearning #AIAdvancements

Key Topics:
0:00 - Intro
0:55 - LLM History
5:12 - Evolution of Prompt Engineering
6:27 - Prompt Techniques
13:51 - Challenges
21:40 - Evaluating Prompt Completion
23:26 - Responsible AI
30:49 - LLM Optimization and Deployment
32:29 - Summary

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How many RAI Parameter / Use cases this is tested against?