No, this has more to do with uploading your sheets to the cloud. "It's so the Assistant can see it! No other reason! Honest!!! We wouldn't dare do anything else with your sheet."
More seriously, making spreadsheet formatted data more easily consumable by curve fitting ML algorithms actually can be useful. I would just would want total control of where that data goes, and unless you roll your own, or have a contract to purchase your own, you don't get that.
More garbage shoved at users to pump up the markets. Does anyone use LLM stuff that meta added to whatsapp and instagram. Everyone i know hates that shit.
When are these ppl going get held accountable for this farce.
A big chunk of the knowledge contained in enterprises is in spreadsheets. It's a no brainer to make that more easily accessible to LLMs. Wrap a thoughfully designed agentic framework around this and you presumably get a cheap junior data analyst that you can ask arbitrary questions of to better optimize value delivered through the knowledge you have. Anything from "free" drill down reports by territory on sales or ops to potentially running monte carlo simulations based on identified correlations to get a sense of the best classes of improvements to invest in to reduce shipping costs, improve sales conversions in specific verticals, etc.
I don't know if this is the framework, but this is one of the problems that needs to be effectively solved for large spreadsheets to unlock access to the data more efficiently.
This is the hot new word in the LLM space. Was this picked because LLMs are losing luster for broad, cross-domain applicability? What systems actually demonstrate this behavior?
I'm not short on LLMs, but I can see a future where Gen AI in the creative space (image, audio, video) outpaces LLMs in terms of impact.
In this context it could be able to do multiple actions in order to address an ask from the user: read cells, documentation, edit cells, and perhaps even read the result from the edited cell before answering. i.e. "Can you create a new sheet that focuses on the Countries where the sales happened, including YoY differences, and tell me which countries are outliers and for which reason(s)?" (probably very far fetched given the level of progress Excel has achieved in 20 years).
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[ 3.0 ms ] story [ 49.8 ms ] threadTheyll probably find a way to doom dna science again.
More seriously, making spreadsheet formatted data more easily consumable by curve fitting ML algorithms actually can be useful. I would just would want total control of where that data goes, and unless you roll your own, or have a contract to purchase your own, you don't get that.
When are these ppl going get held accountable for this farce.
I don't know if this is the framework, but this is one of the problems that needs to be effectively solved for large spreadsheets to unlock access to the data more efficiently.
This is the hot new word in the LLM space. Was this picked because LLMs are losing luster for broad, cross-domain applicability? What systems actually demonstrate this behavior?
I'm not short on LLMs, but I can see a future where Gen AI in the creative space (image, audio, video) outpaces LLMs in terms of impact.
In this context it could be able to do multiple actions in order to address an ask from the user: read cells, documentation, edit cells, and perhaps even read the result from the edited cell before answering. i.e. "Can you create a new sheet that focuses on the Countries where the sales happened, including YoY differences, and tell me which countries are outliers and for which reason(s)?" (probably very far fetched given the level of progress Excel has achieved in 20 years).