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LlamaSheets is our new way to handle complex, messy spreadsheets that come as many sheets disguised as one, multiple regions that provide different sets of information, and much more. Check out this example of a (generated, fake) company budget sheet. It actually has 4 sub-sheets, each containing multiple regions.... show more

LlamaIndex 🦙

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We're listening 👂LlamaSheets is in beta and we want your feedback Spreadsheets in the wild are messy—merged cells, broken layouts, headers spanning multiple rows. LlamaSheets (now in beta) extracts regions and tables from these files and outputs clean Parquet files you can actually use. What it does: · Identifies and isolates regions in your spreadsheet · Extracts them as Parquet files (load directly into pandas/polars/DuckDB) · Generates cell-level metadata (40+ features: formatting, position, data types) · Creates titles and descriptions for sheets and regions Built for the spreadsheets nobody wants to deal with manually. We need your feedback. While in beta and actively improving based on real-world use cases. Try it out and let us know what works, what doesn't, and what you need. Get started here:

We're listening 👂LlamaSheets is in beta and we want your feedback Spreadsheets in the wild are messy—merged cells, broken layouts, headers spanning multiple rows. LlamaSheets (now in beta) extracts regions and tables from these files and outputs clean Parquet files you can actually use. What it does: · Identifies and isolates regions in your spreadsheet · Extracts them as Parquet files (load directly into pandas/polars/DuckDB) · Generates cell-level metadata (40+ features: formatting, position, data types) · Creates titles and descriptions for sheets and regions Built for the spreadsheets nobody wants to deal with manually. We need your feedback. While in beta and actively improving based on real-world use cases. Try it out and let us know what works, what doesn't, and what you need. Get started here:

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2 billion people use spreadsheets every month. Their lives are about to change. Here is ChatGPT integrated natively on spreadsheets. It's one of the best applications of AI that will spread in 2024. You now have access to: • Generate content based on other cells • Summarize, translate, and rewrite • Analyze reviews at scale • Reformatting and extracting information • Enriching existing data And it's as simple as using ChatGPT as a spreadsheet formula. This is Numerous.ai. They collaborated with me on this post. Their tool came out in March last year. I think it will explode in the coming months. Check it out here:

2 billion people use spreadsheets every month. Their lives are about to change. Here is ChatGPT integrated natively on spreadsheets. It's one of the best applications of AI that will spread in 2024. You now have access to: • Generate content based on other cells • Summarize, translate, and rewrite • Analyze reviews at scale • Reformatting and extracting information • Enriching existing data And it's as simple as using ChatGPT as a spreadsheet formula. This is Numerous.ai. They collaborated with me on this post. Their tool came out in March last year. I think it will explode in the coming months. Check it out here:

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Can’t believe its finally here! Our brand new single ‘A Crooked Melody’ is out now and the video has just dropped. Go to to watch now 💙 Let us know what you think of it; we hope you love it as much as we do!

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Meiselas: As all of this information has flooded the zone, you’d think that would be a good thing—that people would get more educated. But paradoxically, I think it’s brought us back to the Dark Ages and feudal times, because a lot of information doesn’t necessarily mean good information. And so, with AI and all the data that’s out there, what I think right-wing authoritarians want to create is this kind of lord-versus-peasant dynamic that existed in the Dark Ages, when people didn’t have access to information.

Meiselas: As all of this information has flooded the zone, you’d think that would be a good thing—that people would get more educated. But paradoxically, I think it’s brought us back to the Dark Ages and feudal times, because a lot of information doesn’t necessarily mean good information. And so, with AI and all the data that’s out there, what I think right-wing authoritarians want to create is this kind of lord-versus-peasant dynamic that existed in the Dark Ages, when people didn’t have access to information.

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Phillip: Do you understand how the labor statistics surveys work? Troyes: How are they off? By that much? Phillip: They're doing surveys to try to understand the labor picture in the US. And as the months go by, they get more information from employers, from households. And they add that information to get a more accurate picture of what happened in the prior 30 days. So it's actually a statistical process that is designed to in real time, correct, based on new information. It's quite the opposite of what you're suggesting. The revisions are not a cover up.

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What do you think of this? The church has outfitted all their chairs with Token readers that, when tapped, provide a quick way to give, fill out a guest card, indicate a "decision of faith," or select any other custom option, such as signing up for a ministry or requesting more information.

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LLMs/general agents still struggle to make sense of messy and complex Excel data. You can't easily dump all cells into the context window, and using the code interpreter is inefficient. LlamaSheets is one of my favorite releases from last year. We've embarked on an effort to build state-of-the-art algorithms and models to segment and parse complex Excel tables - including merged cells, hierarchical rows/columns. This includes both sheet-level and table-level understanding. We think there's a ton of use cases that this can help solve (simplest example: structuring your income/P&L/cash statements to be LLM-ready), and we'd love to get your feedback. Come check it out and let us know your thoughts! Sign up: Docs:

LLMs/general agents still struggle to make sense of messy and complex Excel data. You can't easily dump all cells into the context window, and using the code interpreter is inefficient. LlamaSheets is one of my favorite releases from last year. We've embarked on an effort to build state-of-the-art algorithms and models to segment and parse complex Excel tables - including merged cells, hierarchical rows/columns. This includes both sheet-level and table-level understanding. We think there's a ton of use cases that this can help solve (simplest example: structuring your income/P&L/cash statements to be LLM-ready), and we'd love to get your feedback. Come check it out and let us know your thoughts! Sign up: Docs:

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