Hi EveryOne,
I just heard new word GenAI, I’m little confuse around three word that GenAI, LLM, Open AI. Please help me out regards to all three.
Thanks
Hi EveryOne,
I just heard new word GenAI, I’m little confuse around three word that GenAI, LLM, Open AI. Please help me out regards to all three.
Thanks
What a coincident I’m speaking about GenAI in another 1 and half hour on UiPath Community Event.
RSVP and join.
Meanwhile go through this.
See you there!
Thanks,
Ashok
Hi @ashokkarale thanks for invitation. I attend your session it was amazing and helpful but unfortunately, I couldn’t end up due to network connectivity.
I have few initial doubts.
Starting of session, you mentioned that GenAI is the LLM that generate content based on prompt that analyze it in fragment manner.
Other end Open AI generate content in textual manner.
I’m just not getting the real difference between them as I also see Generative AI use model that nothing but Open AI.
Please help me out with difference it will be very useful. Will it be possible to get the recording.
Thanks
Glad you tried to connect! Yes recording will be available in sometime on the same event page.
Regarding your query, Open AI is the company name who developed Chat GPT which is LLM.
Large language models (LLMs) and generative AI (GenAI) are both types of AI that can generate content based on user input, but they operate in different ways:
LLM
A type of generative AI model that specializes in linguistic tasks like text generation, question answering, and summarization. LLMs are trained on large datasets and can understand and generate language with fluency. They can also assess context and key points in long-form content. LLMs are primarily focused on processing and generating text.
GenAI
A broader category that encompasses a wider variety of model architectures and data types than LLMs. GenAI can create entirely new content based on its understanding of data, including images, music, and code. GenAI can also develop condensed versions of text that capture the essence of the original material.
Hope it will clear your doubt.
Thanks,
Ashok
@ashokkarale Thanks for explanation, now it’s understandable.
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