LiteLLM
Call all LLM APIs using the OpenAI format Anthropic, Huggingface, Cohere, TogetherAI, Azure, OpenAI, etc.
https://github.com/BerriAI/litellm
Call all LLM APIs using the OpenAI format Anthropic, Huggingface, Cohere, TogetherAI, Azure, OpenAI, etc.
https://github.com/BerriAI/litellm
GitHub
GitHub - BerriAI/litellm: Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI…
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq] - BerriAI/litellm
How to model a following system similar to Twitter and Instagram with Python and Django
https://uhtred.dev/insights/how-to-model-a-following-system-similar-to-twitter-and-instagram-with-python-and-django
https://uhtred.dev/insights/how-to-model-a-following-system-similar-to-twitter-and-instagram-with-python-and-django
uhtred.dev
Welcome to Uhtred's World | Uhtred M.
Hi, I'm a Product Developer. I help companies and entrepreneurs with business analysis for structuring, designing and developing scalable digital products. And I write a lot of insights about business, programming, design, etc.
Visualizing the CPython Release Process
https://sethmlarson.dev/security-developer-in-residence-weekly-report-9
https://sethmlarson.dev/security-developer-in-residence-weekly-report-9
Seth Michael Larson
Visualizing the CPython Release Process
This critical role would not be possible without funding from the OpenSSF Alpha-Omega Project.
Massive thank-you to Alpha-Omega for investing in the security of the Python ecosystem!
Last we...
Massive thank-you to Alpha-Omega for investing in the security of the Python ecosystem!
Last we...
When to use classes in Python? When you repeat the same functions
In this article, we look at another heuristic for using classes in Python, with examples from real-world code, and some things to keep in mind.
https://death.andgravity.com/same-functions
In this article, we look at another heuristic for using classes in Python, with examples from real-world code, and some things to keep in mind.
https://death.andgravity.com/same-functions
death and gravity
When to use classes in Python? When you repeat similar sets of functions
Having trouble figuring out when to use classes? In this article, we look at another heuristic for using classes in Python, with examples from real-world code, and some things to keep in mind.
Introducing flake8-logging
This article introduces flake8-logging, a Flake8 plugin that helps you to improve the logging in your Python code. Flake8 is a linter that checks Python code for errors and style violations. flake8-logging extends Flake8 by adding rules for checking logging code.
https://adamj.eu/tech/2023/09/07/introducing-flake8-logging/
This article introduces flake8-logging, a Flake8 plugin that helps you to improve the logging in your Python code. Flake8 is a linter that checks Python code for errors and style violations. flake8-logging extends Flake8 by adding rules for checking logging code.
https://adamj.eu/tech/2023/09/07/introducing-flake8-logging/
adamj.eu
Introducing flake8-logging - Adam Johnson
The Python standard library’s logging module is a go-to for adding observability to applications. Many tools also integrated with it or enhance its capabilities, such as structlog and Sentry.
How We're Building AI Search Engines using LLM Embeddings
Demo and explanation of how to use the Python sentence-transformers library to generate, store, and query LLM embeddings using the Django ORM and pgvector. This video demonstrates a prototype application that enables "AI-powered search" for job descriptions using an unstructured, English-language description of a job seeker.
https://www.youtube.com/watch?v=ZCPUmC37HLU
Demo and explanation of how to use the Python sentence-transformers library to generate, store, and query LLM embeddings using the Django ORM and pgvector. This video demonstrates a prototype application that enables "AI-powered search" for job descriptions using an unstructured, English-language description of a job seeker.
https://www.youtube.com/watch?v=ZCPUmC37HLU
YouTube
How We're Building AI Search Engines using LLM Embeddings
A lot of people have asked us for ideas of how they can leverage Large Language Models (LLMs) for their business applications. A common example is to use the native language comprehension capabilities of LLMs to find matching content. This makes LLMs an excellent…
WhatsApp-Llama
Finetune a LLM to speak like you based on your WhatsApp Conversations.
https://github.com/Ads-cmu/WhatsApp-Llama/
Finetune a LLM to speak like you based on your WhatsApp Conversations.
https://github.com/Ads-cmu/WhatsApp-Llama/
GitHub
GitHub - Ads97/WhatsApp-Llama: Finetune a LLM to speak like you based on your WhatsApp Conversations
Finetune a LLM to speak like you based on your WhatsApp Conversations - Ads97/WhatsApp-Llama
Prompt flow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
https://github.com/microsoft/promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
https://github.com/microsoft/promptflow
GitHub
GitHub - microsoft/promptflow: Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring. - microsoft/promptflow
Vector Embeddings Tutorial – Create an AI Assistant with GPT-4 & Natural Language Processing
Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to create an AI assistant with vector embeddings.
https://www.youtube.com/watch?v=yfHHvmaMkcA
Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to create an AI assistant with vector embeddings.
https://www.youtube.com/watch?v=yfHHvmaMkcA
YouTube
Vector Embeddings Tutorial – Code Your Own AI Assistant with GPT-4 API + LangChain + NLP
Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to create an AI assistant with vector embeddings. You'll use OpenAI's GPT-4 API, LangChain, and Natural Language Processing techniques…
The easy way to concurrency and parallelism with Python stdlib
https://www.bitecode.dev/p/the-easy-way-to-concurrency-and-parallelism
https://www.bitecode.dev/p/the-easy-way-to-concurrency-and-parallelism
www.bitecode.dev
The easy way to concurrency and parallelism with Python stdlib
Because life doesn't have to be hard all the time
Show HN: Kr8s a batteries-included Python client library for Kubernetes
https://github.com/kr8s-org/kr8s
https://github.com/kr8s-org/kr8s
GitHub
GitHub - kr8s-org/kr8s: A batteries-included Python client library for Kubernetes that feels familiar for folks who already know…
A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl - kr8s-org/kr8s
How to Use Apple Vision Framework via PyObjC for Text Recognition
THis article discusses how to use the Vision framework via PyObjC, which allows you to use Objective-C frameworks from Python. The Vision framework is a machine learning framework that can be used to perform tasks such as face detection, object detection, and text recognition.
https://yasoob.me/posts/how-to-use-vision-framework-via-pyobjc/
THis article discusses how to use the Vision framework via PyObjC, which allows you to use Objective-C frameworks from Python. The Vision framework is a machine learning framework that can be used to perform tasks such as face detection, object detection, and text recognition.
https://yasoob.me/posts/how-to-use-vision-framework-via-pyobjc/
yasoob.me
How to Use Apple Vision Framework via PyObjC for Text Recognition - Yasoob Khalid
Introduction This post has been sitting in my drafts folder for a long time. Sometime earlier this year I saw a job posting where someone wanted to use Apple’s vision framework to do text recognition. I wasn’t interested in the job but I was curious about…
Towards a new SymPy: Part 1 - Outline
This first post will outline the structure of the foundations of a computer algebra system (CAS) like SymPy, describe some problems SymPy currently has and what can be done to address them. Then subsequent posts will focus in more detail on particular components and the work that has been done and what should be done in the future.
https://oscarbenjamin.github.io/blog/czi/post1.html
This first post will outline the structure of the foundations of a computer algebra system (CAS) like SymPy, describe some problems SymPy currently has and what can be done to address them. Then subsequent posts will focus in more detail on particular components and the work that has been done and what should be done in the future.
https://oscarbenjamin.github.io/blog/czi/post1.html
How the Python Dataframe Interchange Protocol Makes Life Better
In this article, we answer three questions about the Python Dataframe Interchange Protocol: What it is + what problems it solves; how it works; and how extensively it's been adopted.
https://ponder.io/how-the-python-dataframe-interchange-protocol-makes-life-better/
In this article, we answer three questions about the Python Dataframe Interchange Protocol: What it is + what problems it solves; how it works; and how extensively it's been adopted.
https://ponder.io/how-the-python-dataframe-interchange-protocol-makes-life-better/
Ponder
How the Python Dataframe Interchange Protocol Makes Life Better
In this article, we answer three questions about the Python Dataframe Interchange Protocol: What it is + what problems it solves; how it works; and how extensively it's been adopted.
Add database search with Django and HTMX
We'll create a fast and simple database search using Django and HTMX. It's easy and fast to do with HTMX. There'll be 6 steps.
https://www.photondesigner.com/articles/database-search-django-htmx
We'll create a fast and simple database search using Django and HTMX. It's easy and fast to do with HTMX. There'll be 6 steps.
https://www.photondesigner.com/articles/database-search-django-htmx
Photondesigner
Add instant database search with Django and HTMX 🕵️
Search server-side with speed.