Open Source Claude Code Observability Stack
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here. For ML research, /r/machinelearning For resume review, /r/engineeringresumes For ML engineers, /r/mlengineering
Open Source Claude Code Observability Stack
The landing zone for anything MLOps - beginners and pros welcome. Vendors behave!
Open Source Claude Code Observablity Stack
This is a Claude-information subreddit which aims to help everyone make a fully informed decision about how to use Claude to best effect for their individual purposes. [⠀] This subreddit is not controlled, operated or sanctioned by Anthropic. Please read the rules below before contributing. [⠀] If your problem requires Anthropic's help, visit https://support.anthropic.com/ This subreddit is not the right place to fix your account issues.
Open Source Claude Code Observability Stack
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
AWS Athena MCP - Write Natural Language Queries against AWS Athena
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools
AWS Athena MCP - Write Natural Language Queries against AWS Athena
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
AWS Athena MCP - Write Natural Language Queries against AWS Athena
News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, AWS-CDK, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more.
Build a RAG pipeline on AWS Bedrock in < 1 day
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here. For ML research, /r/machinelearning For resume review, /r/engineeringresumes For ML engineers, /r/mlengineering
Build a RAG pipeline on AWS
The landing zone for anything MLOps - beginners and pros welcome. Vendors behave!
Building a RAG pipeline in < 1 day?
Computer Programming
Building a RAG pipeline on AWS in < 1 day?
A subreddit for all questions related to programming in any language.
Building a RAG Pipeline on AWS Bedrock in < 1 day?
A subreddit dedicated to everything Artificial Intelligence. Covering topics from AGI to AI startups. Whether you're a researcher, developer, or simply curious about AI, Jump in!!!
Build a RAG System in AWS Bedrock in < 1 day?
LangChain is an open-source framework and developer toolkit that helps developers get LLM applications from prototype to production. It is available for Python and Javascript at https://www.langchain.com/.
Build a RAG Pipeline on AWS Bedrock in < 1 Day?
News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, AWS-CDK, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more.
[P] Building a system in AWS Bedrock in < 1 Day?
Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
Building a system on AWS Bedrock in < 1 Day?
Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
Build a RAG Pipeline with AWS Bedrock in < 1 day
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
Introduction to LLM Evals
A space for Enthusiasts, Developers and Researchers to discuss LLMs and their applications.
I created a youtube short for understanding Speculative Decoding for LLM Inference
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here. For ML research, /r/machinelearning For resume review, /r/engineeringresumes For ML engineers, /r/mlengineering
Gmail Auto Labeler Using Local LLMs or GPT-4o-mini
Computer Programming
Gmail Auto-labeler with Llama3.1 8B
Subreddit to discuss Llama, the large language model created by Meta AI.
Generate Synthetic Data With LLMs for Fine-Tuning
Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here. For ML research, /r/machinelearning For resume review, /r/engineeringresumes For ML engineers, /r/mlengineering
AI-Powered Content Creation for Niche Websites
Information and discussions related to building and monetising niche websites/blogs. We discuss and share information on how to build the best content and get organic traffic from Google, SEO, blog monetisation, display ads, Amazon affiliate marketing.
AI-powered Youtube Chapter Summaries
Discussions and useful links for SaaS owners, online business owners, and more.
AI-powered Youtube Chapter Summaries Added
r/SideProject is a subreddit for sharing and receiving constructive feedback on side projects.
