Rahul Maurya’s Post

From infinite libraries to AI librarians: Discover how Transformers revolutionized Large Language Models. Watch our explainer video to understand the tech behind ChatGPT and more! 🤖📖 #LLM #ArtificialIntelligence #Transformer Suparna Diwakar Raghava Krishna Kapil Gaba

Excited to share my latest blog post on Medium where I delve into the fascinating comparison between ChatGPT and Bard! Join me in exploring the capabilities, nuances, and potential of these groundbreaking AI technologies. Don't forget to follow me on Medium for more insights into the tech world. #ChatGPT #Bard #ArtificialIntelligence #MachineLearning #MediumBlog

Large Language Models (LLMs) like ChatGPT and Claude have revolutionized the way we interact with artificial intelligence. These powerful tools can assist us with a wide range of tasks, from writing and analysis to coding and problem-solving. However, to get the most out of these AI assistants, it's crucial to learn how to craft effective prompts. Learn more about AI at S2udios.com

ChatGPT isn't as smart as you think it is, OI's General Manager Jeanne Jennings (Email Optimization Shop) warns. Her 6 tips (first in a series) will help you understand how best to use Generative AI and its large language models (LLMs).

Fabled Sky Research Explores Prompt Engineering Discover how prompt engineering is revolutionizing the way we interact with language models like GPT-3 and ChatGPT. Fabled Sky Research delves into this critical skill, exploring techniques to craft effective prompts and optimize AI performance. From content generation to personalized experiences, learn how prompt engineering is shaping the future of AI applications. #FabledSky #PromptEngineering #ArtificialIntelligence #TechInnovation Learn more at: fs7.org/vpo

prompt engineering can be used to create text or images using generative AI services like ChatGPT or DALL-E. It also discusses how AI engineers use prompt engineering to refine large language models.

In General Abstraction And Realistic Symbolism : Any Purchasing Power Has : A- Fish Memory @ +∆ Time B- Camel Memory @ +∆ Time Please  As An AI / GPT Learning Machine Form Use Your Maximum Accumulated Knowledge And Ignore Any Learned Pattern And Avoid Any Predetermined Bias  To Briefly, Precisely, At 0 Verbosity Choose Between A / B The Most Precise Identifier That Perfectly Fulfills The Targeted Abstraction And Realistic Symbolism ChatGPT B- Camel Memory @ +∆ Time https://lnkd.in/d8pVqNyV Gemini B https://lnkd.in/dDq42bVb --------------------- Reselling Value Is Major Collective Consensus Manifestation Of That Memory

Are large language models like ChatGPT actually capable of doing real work? 🤔 Large language models (LLMs) alone are just prediction machines. And treating LLMs as plug-and-play AI agents is a common pitfall that's leaving businesses sorely disappointed. Don't make the same mistake! Making sense of the generative AI landscape can be tough—but our white paper "What Everyone Is Getting Wrong About AI Agents" 🤖 will put you ahead of the game: https://lnkd.in/gQFfwKQA

Background phenomena in AI Chat Bot we usually embed in Different Applications , the real definition of Large Language Model (LLM).

AI talks back. ChatGPT’s rapid growth has unlocked the value of Large Language Models by adding a conversational interface to the web’s entire knowledge stack. Discover this and the many more advances of AI in the year to come. Read more 🤖: https://bit.ly/49yeSxe