If what you are doing is effectively finding ways to go back to the parts of the original documents that are relevant that is fine. This is, again, not "generative AI". Please stop selling the hype.
GENERATIVE AI
-
80% Knowledge Workers Will Use AI Within Two Years
By
–
We are under the assumption that at least 80% of what knowledge workers—across all industries—do will be AI assisted to some degree in the next two years. (Note, there are 100M knowledge workers in the U.S.). This change is being accelerated by the infusion of generative AI into
-
Templatic Generation vs LLM Untethered Synthetic Text
By
–
There's an enormous difference between templatic generation & other ways of going from structured data to natural language strings that reflect it to the kind of untethered synthetic text that comes out of LLMs.
-
Evaluating AI Accuracy: How to Know When to Trust Results
By
–
"Correctly identifying" And you evaluated this HOW? What % of the time is it actually right? And how do you know when NOT to trust it?
-
GenAI as Band-Aid: Risks to Education, Healthcare, Journalism
By
–
But patching holes in lack of resources for education, medical care, journalism, etc with "genAI" is like treating morning sickness with thalidomide. Damaging, and especially damaging to another entity the person receiving the treatment cares deeply about.
-
NER is Machine Learning, Not GenAI: Cut the Hype
By
–
Are you doing ML for NER? That's. Not. "GenAI". Are you doing ML for NER? Have you carefully evaluated how well it works in your use case? If so, proceed with caution. Either way: cut the hype.
-
Critiquing Hype: GenAI Limitations and Technochauvinism
By
–
So much of the #AIhype I'm seeing these days is 2nd-hand hype, where someone has identified a legitimate need and then fallen for the technochauvanist line that "genAI" (synthetic media extruding machines) will meet that need. >>
-
Snowflake Transforms Data with Generative AI Synthetic Data
By
–
Discover how cloud data giant #Snowflake is revolutionizing the use of #synthetic #data created through #generative #AI to overcome the challenges of real-world data collection, enhancing #privacy and reducing #bias while also leveraging AI.
-
LLMs gain senses and dexterity, heralding a new era.
By
–
There’s going to be a “Before Optimus” and “After Optimus” timeline in the history books.
— AI Breakfast (@AiBreakfast) 24 septembre 2023
LLMs just got eyeballs and opposable thumbs and you can probably run them for free from the solar charger on your roof. pic.twitter.com/lhp1J5CKcpThere’s going to be a “Before Optimus” and “After Optimus” timeline in the history books. LLMs just got eyeballs and opposable thumbs and you can probably run them for free from the solar charger on your roof.
-
KOSMOS-2.5: Multimodal AI for Document Text Generation
By
–
10/ KOSMOS-2.5 – a multimodal model for machine reading of text-intensive images capable of document-level text generation and image-to-markdown text generation.