Ask HN: How is your organization using LLMs?
I'm curious to hear how different organizations are integrating large language models (LLMs) into their workflows. Are you using them for customer support, content generation, data analysis, or something else? How have LLMs impacted your operations, and what challenges or benefits have you encountered?
9 comments
Heavily,
Call summarisation at scale, for further insights of key topics/sentiments for diarized & fused channel call data
Lead mining quality improvement by asking questions instead of merely classification
Internal simple RAG chatbot across ~1000 PDFs, not yet down the GraphRAG route
Better chatbot experience over RASA
Contract mining for speeding up mundane governance tasks
Call summarisation at scale, for further insights of key topics/sentiments for diarized & fused channel call data
Lead mining quality improvement by asking questions instead of merely classification
Internal simple RAG chatbot across ~1000 PDFs, not yet down the GraphRAG route
Better chatbot experience over RASA
Contract mining for speeding up mundane governance tasks
I’m curious, which software do you use for the lead mining quality improvement use-case you mentioned?
Mostly Mistral/Mixtral models in addition to Whisper.
how do you know the caller didn't mention anything confidential if you're only seeing it after you send it to openai?
Where did you find OpenAI in my reply?
Would love to hear your feedback once you do try GraphRAG.
PMs and Execs are pushing devs to do docs classification and extract data from text ("see I can do it on chatGPT!") so they're using Taylor (trytaylor.ai) to build production grade text pipelines ;)
In all seriousness, customer support was the first but the least impactful area for LLMs. Currently, LLMs are primarily used for developer efficiency and for info retrieval.
In all seriousness, customer support was the first but the least impactful area for LLMs. Currently, LLMs are primarily used for developer efficiency and for info retrieval.
I run a website alone. I often use it to find better ways to explain things in plain English. It's good to see how ChatGPT explains a thing, and use it to improve my own explanation.
I'm now testing automated translations of my Markdown-based content, but the unpredictable nature of LLMs mean a lot of potentially costly errors could slip through. However, offering a website in multiple languages without additional labour is very appealing. I could reach a far greater audience, and help a lot more people.
I also use the far better modern text to speech APIs to tell my readers how to pronounce complex German words.
I'm now testing automated translations of my Markdown-based content, but the unpredictable nature of LLMs mean a lot of potentially costly errors could slip through. However, offering a website in multiple languages without additional labour is very appealing. I could reach a far greater audience, and help a lot more people.
I also use the far better modern text to speech APIs to tell my readers how to pronounce complex German words.