My couch. MacBook Pro. Runpod for compute. Axolotl for training. OpenAI Playground and Anthropic Console for prompt engineering. Sometimes PromptKnit.
TOOLS
-
HyperWrite Internal Model A/B Testing in Production
By
–
Yes! One of our most recent internal HyperWrite models is trained for this. We’re currently A/B testing this in production, so if you’re lucky, you’ll get this! cc @JasonKuperberg more validation we should improve this 🙂
-
AI Saves Time on Accounting Research and Tasks
By
–
So thankful for AI as I deal with some accounting stuff. I can just ask and it answers 🙂 I bet I just saved 6 hours of tedious research.
-
LangChain Chatchat: Open Source Local Q&A Application
By
–
LangChain Chatchat A local Q&A application. The goal is to build a KBQA(Knowledge based Q&A) solution that is friendly to Chinese scenarios and open source models and can run both offline and online. 25k stars on Github! https://
github.com/chatchat-space
/Langchain-Chatchat/blob/master/README_en.md
… -
AI Agents Automate Complex Business Processes with Generative AI
By
–
Quickly automate complex business processes (like RFP creation, completing forms, creating legal documents, automating customer support, creating on-the-fly dashboards) using #AI agents built by the #GenerativeAI tools of @AbacusAI
. Free webinar shows how: https://
eventbrite.com/e/ai-agents-us
e-generative-ai-to-automate-complex-tasks-tickets-867066357817?aff=oddtdtcreator
… -
Databricks Community Blogs: RAG, Data Intelligence, Unity Catalog
By
–
The Databricks Community blogs are on — with active discussions on: RAG applications Data intelligence platforms #UnityCatalog
…and so much more! Dive into the #data with a vibrant group of practitioners from around the world https://
bit.ly/3NrXhxV -
Axolotl and Together Compute for Model Fine-tuning
By
–
I use Axolotl, but services like @togethercompute might be easier. Last I checked, they don’t support only training on outputs, which is important. May have changed since!
-
Building RAG Systems for Powerful Data Access
By
–
How to Make a RAG System to Gain Powerful Access to Your Data This article is a great introduction to RAG, and walks through a few important steps of a RAG pipeline: Retrieve Data
Pre-process Data
Implement RAG
Test https://
towardsdatascience.com/how-to-make-a-
rag-system-to-gain-powerful-access-to-your-data-caf4bb9186ea
… -
AI Integration Simplifies MLOps and ETL Pipeline Complexity
By
–
By bringing AI directly to data developers and organizations can avoid the complexity of building and integrating MLOps and ETL pipelines as well as migrating and duplicating data across multiple environments. Check this out: https://
superduperdb.com