r/LLMDevs is a subreddit with 9k members. Its distinguishing qualities are that the community is medium in size.
A space for Developers and Enthusiasts to discuss the application of LLM and NLP tools.
Popular Themes in r/LLMDevs
#1
Solution Requests
: "Looking for a self-hosted LLM quality monitoring system"
34 posts
#2
Advice Requests
: "What are the ways to create fine-tuning dataset from unstructured text data"
32 posts
#3
Self-Promotion
: "Introducing Triplex - Build a knowledge graph from your laptop"
11 posts
#4
Pain & Anger
: "Reasoning skills of large language models are often overestimated"
5 posts
#5
Money Talk
: "[Discussion] Who is the most cost effective GPU provider for fine-tuning small open source LLMs in production?"
3 posts
#6
News
: "Paddler (open source, production-ready llama.cpp load balancer) gets a big update"
1 post
Popular Topics in r/LLMDevs
#1
Llm
: "Celebrating 10k Members! Help Us Create a Knowledge Base for Llms and NLP"
42 posts
#2
Rag
: "Two New Rag Books from Manning Publications!"
29 posts
#3
Ai
: "Don't know where to start from in ML and Ai."
17 posts
#4
Fine Tuning
: "What do you guys use Fine Tuning for?"
7 posts
#5
Chatbot
: "Chatbot + LLM issues"
6 posts
#6
Evaluation
: "What is a good balance of human feedback VS automated Evaluation of models? "
6 posts
#7
Training
: "Fine tuning vs few shot Training & caching a trained model"
5 posts
#8
Model
: "Fine tuning vs few shot training & caching a trained Model"
5 posts
#9
Fine Tune
: "Any open source LLMs to Fine Tune on consumer grade machines/ Kaggle GPU P100?"
5 posts
#10
Gpt
: "Hey r/LLMDevs, here’s an app template for multimodal RAG pipelines using Gpt-4o and Pathway. We’ve used Gpt-4o for both parsing and answering to get much better results than current RAG methods. Use it with your own data within Docker or try it out in Colab. Documentation and code is in the link."
5 posts
Popular Posts in r/LLMDevs
Member Growth in r/LLMDevs
Daily
+10 members(0.1%)
Monthly
+692 members(8.1%)
Yearly
+7k members(417.4%)
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