open-notebooklm
Convert any PDF into a podcast episode!
https://github.com/gabrielchua/open-notebooklm
Convert any PDF into a podcast episode!
https://github.com/gabrielchua/open-notebooklm
GitHub
GitHub - gabrielchua/open-notebooklm: Convert any PDF into a podcast episode!
Convert any PDF into a podcast episode! Contribute to gabrielchua/open-notebooklm development by creating an account on GitHub.
Langfun
Langfun, powered by PyGlove, makes working with language models (LM) more intuitive by treating language as functions. Using Object-Oriented Prompting, it enables users to prompt LLMs with objects and types, enhancing control and simplifying agent development.
https://github.com/google/langfun
Langfun, powered by PyGlove, makes working with language models (LM) more intuitive by treating language as functions. Using Object-Oriented Prompting, it enables users to prompt LLMs with objects and types, enhancing control and simplifying agent development.
https://github.com/google/langfun
GitHub
GitHub - google/langfun: OO for LLMs
OO for LLMs. Contribute to google/langfun development by creating an account on GitHub.
Numpy QuadDType: Quadruple Precision for Everyone
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
https://labs.quansight.org/blog/numpy-quaddtype-blog
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
https://labs.quansight.org/blog/numpy-quaddtype-blog
labs.quansight.org
Numpy QuadDType: Quadruple Precision for Everyone
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
AlphaChip
An open-source framework for generating chip floorplans with distributed deep reinforcement learning.
https://github.com/google-research/circuit_training
An open-source framework for generating chip floorplans with distributed deep reinforcement learning.
https://github.com/google-research/circuit_training
GitHub
GitHub - google-research/circuit_training
Contribute to google-research/circuit_training development by creating an account on GitHub.
What Can a Coffee Machine Teach You About Python's Functions?
https://www.thepythoncodingstack.com/p/coffee-machine-python-function-analogy
https://www.thepythoncodingstack.com/p/coffee-machine-python-function-analogy
Thepythoncodingstack
What Can A Coffee Machine Teach You About Python's Functions?
Let me tell you about one of my favourite analogies
What I’ve Learned in the Past Year Spent Building an AI Video Editor
Kirk Kaiser spent a year developing an AI video editor using LLMs and Diffusion models to enhance video workflows. His journey explored the intersection of AI and video editing, aiming to create dynamic, generative tools for customizable content.
https://www.makeartwithpython.com/blog/a-year-of-showing-up/
Kirk Kaiser spent a year developing an AI video editor using LLMs and Diffusion models to enhance video workflows. His journey explored the intersection of AI and video editing, aiming to create dynamic, generative tools for customizable content.
https://www.makeartwithpython.com/blog/a-year-of-showing-up/
Make Art with Python
What I’ve Learned in the Past Year Spent Building an AI Video Editor
Lessons from An Unexpected Year in AI
The Ultimate Guide to Error Handling in Python
I often come across developers who know the mechanics of Python error handling well, yet when I ...
https://blog.miguelgrinberg.com/post/the-ultimate-guide-to-error-handling-in-python
I often come across developers who know the mechanics of Python error handling well, yet when I ...
https://blog.miguelgrinberg.com/post/the-ultimate-guide-to-error-handling-in-python
Miguelgrinberg
The Ultimate Guide to Error Handling in Python
I often come across developers who know the mechanics of Python error handling well, yet when I review their code I find it to be far from good. Exceptions in Python is one of those areas that have a…
OpenFreeMap
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data.
https://github.com/hyperknot/openfreemap
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data.
https://github.com/hyperknot/openfreemap
GitHub
GitHub - hyperknot/openfreemap: Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap…
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data - hyperknot/openfreemap
Dynamiq
Dynamiq is an orchestration framework for agentic AI and LLM applications.
https://github.com/dynamiq-ai/dynamiq
Dynamiq is an orchestration framework for agentic AI and LLM applications.
https://github.com/dynamiq-ai/dynamiq
GitHub
GitHub - dynamiq-ai/dynamiq: Dynamiq is an orchestration framework for agentic AI and LLM applications
Dynamiq is an orchestration framework for agentic AI and LLM applications - dynamiq-ai/dynamiq
Building an image search engine on Postgres
This post demonstrates how to build a basic image search engine using Postgres, CLIP (a pre-trained AI model), and the pgvector extension. It explains the process of generating embeddings for images and text, storing them in Postgres, and performing similarity searches using both image and text queries1
https://tembo.io/blog/image-search
This post demonstrates how to build a basic image search engine using Postgres, CLIP (a pre-trained AI model), and the pgvector extension. It explains the process of generating embeddings for images and text, storing them in Postgres, and performing similarity searches using both image and text queries1
https://tembo.io/blog/image-search
tembo.io
Building an image search engine on Postgres | Tembo
Search images with text and existing images using Postgres.
Building internal AI tools with Streamlit
The article explains how to build internal AI tools using Streamlit and PropelAuth for authentication. It walks through setting up secure user authentication and integrating with AI models, making it easier to build AI-driven web apps for internal company use.
https://www.propelauth.com/post/internal-ai-tools-with-streamlit
The article explains how to build internal AI tools using Streamlit and PropelAuth for authentication. It walks through setting up secure user authentication and integrating with AI models, making it easier to build AI-driven web apps for internal company use.
https://www.propelauth.com/post/internal-ai-tools-with-streamlit
PropelAuth Blog
Building internal AI tools with Streamlit
Most companies have a ton of valuable data internally. This could be analytics data on your customers interactions with your product. This could be an audit log of actions taken within the product (which is another way to see when different features are enabled).…
gptme
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
https://github.com/ErikBjare/gptme
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
https://github.com/ErikBjare/gptme
GitHub
GitHub - gptme/gptme: Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web,…
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision. - gptme/gptme
Scaling AI-Based Data Processing with Hugging Face + Dask
The article demonstrates how to scale AI-based data processing using Hugging Face and Dask, progressing from processing 100 rows locally with pandas to handling 211 million rows across multiple GPUs in the cloud. It showcases the use of Dask for distributed computing, enabling efficient data loading, preprocessing of large datasets, and parallel model inference, with a practical example ...
https://huggingface.co/blog/dask-scaling
The article demonstrates how to scale AI-based data processing using Hugging Face and Dask, progressing from processing 100 rows locally with pandas to handling 211 million rows across multiple GPUs in the cloud. It showcases the use of Dask for distributed computing, enabling efficient data loading, preprocessing of large datasets, and parallel model inference, with a practical example ...
https://huggingface.co/blog/dask-scaling
huggingface.co
Scaling AI-based Data Processing with Hugging Face + Dask
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Django: Introducing Djade, a template formatter
Happy DjangoCon US 2024 to you.
Whilst I am not there, I have adopted the spirit of the season and ...
https://adamj.eu/tech/2024/09/26/django-introducing-djade/
Happy DjangoCon US 2024 to you.
Whilst I am not there, I have adopted the spirit of the season and ...
https://adamj.eu/tech/2024/09/26/django-introducing-djade/
adamj.eu
Django: Introducing Djade, a template formatter - Adam Johnson
Happy DjangoCon US 2024 to you. Whilst I am not there, I have adopted the spirit of the season and got to work hacking together a new tool.