Building RAG-based LLM Applications for Production (Part 1)
In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale, evaluation and routing.
https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1
In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale, evaluation and routing.
https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1
Anyscale
Building RAG-based LLM Applications for Production
In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale and evaluation.
Logparser
Logparser provides a machine learning toolkit and benchmarks for automated log parsing, which is a crucial step for structured log analytics
https://github.com/logpai/logparser
Logparser provides a machine learning toolkit and benchmarks for automated log parsing, which is a crucial step for structured log analytics
https://github.com/logpai/logparser
GitHub
GitHub - logpai/logparser: A machine learning toolkit for log parsing [ICSE'19, DSN'16]
A machine learning toolkit for log parsing [ICSE'19, DSN'16] - logpai/logparser
QuasiQueue
QuasiQueue is a MultiProcessing library for Python that makes it super easy to have long running MultiProcess jobs. QuasiQueue handles process creation and cleanup, signal management, cross process communication, and all the other garbage that makes people hate dealing with multiprocessing.
https://github.com/tedivm/quasiqueue
QuasiQueue is a MultiProcessing library for Python that makes it super easy to have long running MultiProcess jobs. QuasiQueue handles process creation and cleanup, signal management, cross process communication, and all the other garbage that makes people hate dealing with multiprocessing.
https://github.com/tedivm/quasiqueue
GitHub
GitHub - tedivm/quasiqueue: Multiprocessing Queues Made Easy
Multiprocessing Queues Made Easy. Contribute to tedivm/quasiqueue development by creating an account on GitHub.
EvoDiff
Generation of protein sequences and evolutionary alignments via discrete diffusion models.
https://github.com/microsoft/evodiff
Generation of protein sequences and evolutionary alignments via discrete diffusion models.
https://github.com/microsoft/evodiff
GitHub
GitHub - microsoft/evodiff: Generation of protein sequences and evolutionary alignments via discrete diffusion models
Generation of protein sequences and evolutionary alignments via discrete diffusion models - microsoft/evodiff
Compiling ML models to C for fun
ML models can be compiled to graphs, which can be traversed to perform forward and backward passes. This approach can improve performance and make it easier to debug ML models.
https://bernsteinbear.com/blog/compiling-ml-models/
ML models can be compiled to graphs, which can be traversed to perform forward and backward passes. This approach can improve performance and make it easier to debug ML models.
https://bernsteinbear.com/blog/compiling-ml-models/
Max Bernstein
Compiling ML models to C for fun
We make micrograd fly with a little compiler magic. In this post, weβll write a ML compiler from scratch.
Temporian
Temporian is a Python library for feature engineering and data augmentation of temporal data (e.g. time-series, transactions) in machine learning applications.
https://github.com/google/temporian
Temporian is a Python library for feature engineering and data augmentation of temporal data (e.g. time-series, transactions) in machine learning applications.
https://github.com/google/temporian
GitHub
GitHub - google/temporian: Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal dataβ¦
Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal data π for machine learning applications π€ - google/temporian
Simulate the Monty Hall problem in Python
Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners!
https://www.dataschool.io/python-probability-simulation/
Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners!
https://www.dataschool.io/python-probability-simulation/
Data School
Simulate the Monty Hall problem in Python πππ
Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners!
PyLLMCore
A pythonic library providing light-weighted interface with LLMs
https://github.com/paschembri/py-llm-core
A pythonic library providing light-weighted interface with LLMs
https://github.com/paschembri/py-llm-core
GitHub
GitHub - advanced-stack/py-llm-core: A pythonic library providing light-weighted interface with LLMs
A pythonic library providing light-weighted interface with LLMs - advanced-stack/py-llm-core
KillianLucas / open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
https://github.com/KillianLucas/open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
https://github.com/KillianLucas/open-interpreter
GitHub
GitHub - openinterpreter/open-interpreter: A natural language interface for computers
A natural language interface for computers. Contribute to openinterpreter/open-interpreter development by creating an account on GitHub.
Medical_Intake
Automated pipeline for medical intake, diagnosis, tests, etc.
https://github.com/daveshap/Medical_Intake
Automated pipeline for medical intake, diagnosis, tests, etc.
https://github.com/daveshap/Medical_Intake
GitHub
GitHub - daveshap/Medical_Intake: Automated pipeline for medical intake, diagnosis, tests, etc.
Automated pipeline for medical intake, diagnosis, tests, etc. - daveshap/Medical_Intake
Building A RisingWave Connector for Django ORM
Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave.
https://bas.codes/posts/django-risingwave
Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave.
https://bas.codes/posts/django-risingwave
Building A RisingWave Connector for Django ORM - Bas codes
Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave
rustworkx
A high performance Python graph library implemented in Rust.
https://github.com/Qiskit/rustworkx
A high performance Python graph library implemented in Rust.
https://github.com/Qiskit/rustworkx
GitHub
GitHub - Qiskit/rustworkx: A high performance Python graph library implemented in Rust.
A high performance Python graph library implemented in Rust. - Qiskit/rustworkx
OpenBMB / ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
https://github.com/OpenBMB/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
https://github.com/OpenBMB/ChatDev
GitHub
GitHub - OpenBMB/ChatDev: Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration) - OpenBMB/ChatDev