Orca-2-13B Runs Directly on Rust+WASM – No Python/C++ Hassles
https://www.secondstate.io/articles/orca-2-13b/
https://www.secondstate.io/articles/orca-2-13b/
www.secondstate.io
Getting Started with Orca-2-13B
Fast and Portable Llama2 Inference on the Heterogeneous Edge.
Two kinds of threads pools, and why you need both
How big should your thread pool be? It depends on your use case.
https://pythonspeed.com/articles/two-thread-pools/
How big should your thread pool be? It depends on your use case.
https://pythonspeed.com/articles/two-thread-pools/
Python⇒Speed
Two kinds of threads pools, and why you need both
How big should your thread pool be? It depends on your use case.
screenshot-to-code
Drop in a screenshot and convert it to clean HTML/Tailwind/JS code.
https://github.com/abi/screenshot-to-code
Drop in a screenshot and convert it to clean HTML/Tailwind/JS code.
https://github.com/abi/screenshot-to-code
GitHub
GitHub - abi/screenshot-to-code: Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue) - abi/screenshot-to-code
sqlalchemy_data_model_visualizer
Automatically turn your SQLalchemy Data Models into a Nice SVG Diagram
https://github.com/Dicklesworthstone/sqlalchemy_data_model_visualizer
Automatically turn your SQLalchemy Data Models into a Nice SVG Diagram
https://github.com/Dicklesworthstone/sqlalchemy_data_model_visualizer
GitHub
GitHub - Dicklesworthstone/sqlalchemy_data_model_visualizer: Automatically turn your SQLalchemy Data Models into a Nice SVG Diagram
Automatically turn your SQLalchemy Data Models into a Nice SVG Diagram - Dicklesworthstone/sqlalchemy_data_model_visualizer
Proposal for Software Bill-of-Materials for CPython
https://sethmlarson.dev/security-developer-in-residence-weekly-report-19
https://sethmlarson.dev/security-developer-in-residence-weekly-report-19
Seth Michael Larson
Proposal for Software Bill-of-Materials for CPython
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!
This week...
This week...
GitHub OAuth in your Python Flask app
A step-by-step guide on building Login with Github into your Python apps.
https://supabase.com/blog/oauth2-login-python-flask-apps
A step-by-step guide on building Login with Github into your Python apps.
https://supabase.com/blog/oauth2-login-python-flask-apps
Supabase
GitHub OAuth in your Python Flask app
A step-by-step guide on building Login with Github into your Python apps.
A JIT Compiler for CPython
Brandt Bucher discusses the development of a Just-In-Time (JIT) compiler for CPython. The talk delves into the challenges and intricacies of implementing a JIT compiler specifically for CPython, the default Python interpreter.
https://www.youtube.com/watch?v=HxSHIpEQRjs
Brandt Bucher discusses the development of a Just-In-Time (JIT) compiler for CPython. The talk delves into the challenges and intricacies of implementing a JIT compiler specifically for CPython, the default Python interpreter.
https://www.youtube.com/watch?v=HxSHIpEQRjs
YouTube
Brandt Bucher – A JIT Compiler for CPython
From the 2023 CPython Core Developer Sprint
The QA section is hard to understand; turn on subtitles for our best-effort transcription. (PRs welcome: https://github.com/encukou/subtitles-for-brandts-talk/blob/main/jit.en.vtt)
Links & bibliography:
Slides:…
The QA section is hard to understand; turn on subtitles for our best-effort transcription. (PRs welcome: https://github.com/encukou/subtitles-for-brandts-talk/blob/main/jit.en.vtt)
Links & bibliography:
Slides:…
PyNest
PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS.
https://github.com/PythonNest/PyNest
PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS.
https://github.com/PythonNest/PyNest
GitHub
GitHub - PythonNest/PyNest: PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS
PyNest is a Python framework built on top of FastAPI that follows the modular architecture of NestJS - PythonNest/PyNest
Pythonicity: Composition vs. Inheritance
https://coady.github.io/posts/composition-vs-inheritance.html
https://coady.github.io/posts/composition-vs-inheritance.html
coady.github.io
Pythonicity - Composition vs. inheritance
StyleTTS 2
Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
https://github.com/yl4579/StyleTTS2
Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
https://github.com/yl4579/StyleTTS2
GitHub
GitHub - yl4579/StyleTTS2: StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with…
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models - yl4579/StyleTTS2
Inserting data via the PostgREST API using Python
https://www.dataroc.ca/blog/inserting-data-via-the-postgrest-api-using-python
https://www.dataroc.ca/blog/inserting-data-via-the-postgrest-api-using-python
www.dataroc.ca
Inserting data via the PostgREST API using Python
Explore secure data writing with PostgREST API in this insightful post — essential tools powering updates on my dynamic portfolio page.
AIConfig
Config-driven, source control friendly AI application development.
https://github.com/lastmile-ai/aiconfig
Config-driven, source control friendly AI application development.
https://github.com/lastmile-ai/aiconfig
GitHub
GitHub - lastmile-ai/aiconfig: AIConfig is a config-based framework to build generative AI applications.
AIConfig is a config-based framework to build generative AI applications. - lastmile-ai/aiconfig
NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
https://github.com/NeumTry/NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
https://github.com/NeumTry/NeumAI
GitHub
GitHub - NeumTry/NeumAI: Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at…
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale. - NeumTry/NeumAI
pytest-patterns
pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing.
https://github.com/flyingcircusio/pytest-patterns
pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing.
https://github.com/flyingcircusio/pytest-patterns
GitHub
GitHub - flyingcircusio/pytest-patterns: pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized…
pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing. - GitHub - flyingcircusio/pytest-patterns: pytest-patterns is a plugin for pytest that provides...
Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector
Large Language Models (LLMs) can be leveraged for business applications, such as content matching and job search. William Huster demonstrates how to build a prototype application that utilizes LLMs for job search.
https://www.youtube.com/watch?v=OPy4dLHdZng
Large Language Models (LLMs) can be leveraged for business applications, such as content matching and job search. William Huster demonstrates how to build a prototype application that utilizes LLMs for job search.
https://www.youtube.com/watch?v=OPy4dLHdZng
YouTube
Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector
This is the long-form version of the original video: https://www.youtube.com/watch?v=ZCPUmC37HLU
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…
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…
Python 3.12 Generic Types Explained
This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
https://www.youtube.com/watch?v=q6ujWWaRdbA
This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
https://www.youtube.com/watch?v=q6ujWWaRdbA
YouTube
Python 3.12 Generic Types Explained
👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis.
In this video, I’m going to explore how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
GitHub repo: https://git.arja…
In this video, I’m going to explore how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
GitHub repo: https://git.arja…
Azure-Samples / chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator
GitHub
GitHub - Azure-Samples/chat-with-your-data-solution-accelerator: A Solution Accelerator for the RAG pattern running in Azure, using…
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This incl...
Building a Neural Network with PyTorch
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch.
https://haydenjames.io/building-a-neural-network-with-pytorch/
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch.
https://haydenjames.io/building-a-neural-network-with-pytorch/
LinuxBlog.io
Building a Neural Network with PyTorch
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible