Really excited to be kicking off a hackathon with @streamlit ! One interesting project perhaps – using LLMs to create Streamlit apps Someone just uploaded a prompt to the Hub that takes a first stab at this https://
smith.langchain.com/hub/muhsinbash
ir/text-to-streamlit-webapp
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PROMPT ENGINEERING
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LLMs Generate Streamlit Apps at Hackathon
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Site-Specific Web Agents with Custom Prompts and Tools
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this is pretty interesting
— Harrison Chase (@hwchase17) 4 septembre 2023
rather than a general purpose web-agent, this gives each website owner the ability to create one specifically for their site
bullish on this, since successful agents generally have custom prompts + tools https://t.co/cIL1E2GQFFthis is pretty interesting rather than a general purpose web-agent, this gives each website owner the ability to create one specifically for their site bullish on this, since successful agents generally have custom prompts + tools
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LLM Context Solution for Tabular Data Integration
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One of the hardest parts of building LLM applications is making sure they have the right context @the_cube_dev is helping solve the context problem for tabular data! We recently did an integration with them, and we're going to talk about it in detail
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Infuse Knowledge into Language Models with 10 Samples
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Infuse knowledge into language models with just 10 samples 🔥https://t.co/V3PMUnSvq1 pic.twitter.com/5mhNHxHNr5
— Ben Tossell (@bentossell) 4 septembre 2023Infuse knowledge into language models with just 10 samples https://
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ChatGPT Usage Frequency and Prompting Techniques Survey
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After almost a year now, what is your #ChatGPT frequency use? And what do you use it for? Do you use it for everything, just work, or just for random question for fun?
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Maximize ChatGPT Experience With Custom Instructions Guide
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If you're not using ChatGPT custom instructions you're sleeping! Makes the experience 10x better. Should I do a guide on it?
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Agent Architecture: Prompt, LLM, Parser Loop Deconstruction
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Interesting deconstruction of agents Most agents are prompt + LLM + output parser in a while loop This makes that explicit by forcing users to implement the while loop – more customizability
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Graph of Thoughts: Network Reasoning Approach for LLMs
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4/ Graph of Thoughts – a prompting approach that models text generated by LLMs as an arbitrary graph; enables combining arbitrary "thoughts" and enhancing them using feedback loops; the core idea is to enhance the LLMs through "network reasoning".
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8 Powerful ChatGPT Prompts to Elevate Your Marketing
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Elevate your marketing game with these 8 powerful ChatGPT prompts! Boost engagement and leverage AI for impactful campaigns. #ChatGPT #MarketingTips #AIForMarketers via @ingliguori
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Getting Started with LangChain: Building LLM Applications
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Getting Started with LangChain: A Beginner’s Guide to Building LLM-Powered Applications By Leonie Monigatti @Medium *********
A LangChain tutorial to build anything with large language models in Python
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#AI #GenerativeAI #ChatGPT #LLM #FutureOfWork #AI