LinkedInGPT
leaptable
LinkedInGPT | leaptable | |
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1 | 3 | |
84 | 162 | |
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4.6 | 10.0 | |
11 months ago | 8 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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LinkedInGPT
leaptable
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AI and the End of Programming
As the parent comment says, LLMs are very good at giving plausible answers. Without checking each cell, then the data you eventually output becomes suspect.
We've been trying to solve this problem at Leaptable (https://leaptable.co/). The crux is that while LLMs are still a black box, transparency in the way AI Agents interact with LLMs is key. For instance, seeing the outputs of each step in a chain-of-thought sequence helps debug common fallacies in the way the LLMs reason and built trust.
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Textual Adds a Command Palette
This is very cool and I can see how it'd be helpful for users. How did you arrive at this feature? Slash command's discoverability is key. The commands serve as documentation and hints. Additionally, love the fact that users can create customized commands as shortcuts for frequent workflows or other logic. Reduces repetitive clicking/navigating.
As the builder of LeapTable (https://github.com/peterwnjenga/leaptable), an open-source low-code database powered by AI agents, one of the first pieces of feedback I received from early users was the desire for slash commands similar to Notion.
After evaluating different options, I settled on incorporating PlateJS (https://platejs.org/docs/mention) to enable @mention-style slash commands in LeapTable's React-based interface.
PlateJS proved to be a great fit for easily bringing robust slash command capabilities into our webapp. The @mention commands allow for convenient execution of actions, integration with external services, and automation workflows.
For any other React developers looking to incorporate flexible, Notion-style slash commands into their webapps, I highly recommend checking out PlateJS. It provided the perfect building block for enabling rich slash command interactions in LeapTable.
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Unicorn Startup Airtable Lays Off 27% of Firm, Shifts Focus to Big Clients
Baserow is cool. We evaluated it within our company a few months ago and eventually settled for Nocodb (https://nocodb.com/) - easy to run, more mature.
Leaptable is another Open Source framework like Airtable I saw recently with support for AI Agents. https://github.com/peterwnjenga/leaptable
What are some alternatives?
DemoGPT - Create 🦜️🔗 LangChain apps by just using prompts🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。 给个star支持我们的工作吧!
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
voxelgpt - AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions
llm_agents - Build agents which are controlled by LLMs
Otter - 🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
vektor - a mini vector database implementation that intends to be educational and interpretable
oterm - a text-based terminal client for Ollama
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
FairytaleDJ - You got a friend in me
grist-core - Grist is the evolution of spreadsheets.
docarray - Represent, send, store and search multimodal data
TaskingAI - The open source platform for AI-native application development.