A Retrospective on Requests
python-requests has been around for a long time. I've been a maintainer for many years and I share some retrospective thoughts on the project.
https://blog.ian.stapletoncordas.co/2024/02/a-retrospective-on-requests
python-requests has been around for a long time. I've been a maintainer for many years and I share some retrospective thoughts on the project.
https://blog.ian.stapletoncordas.co/2024/02/a-retrospective-on-requests
blog.ian.stapletoncordas.co
A Retrospective on Requests - cat /dev/brain
Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python.
https://towardsdatascience.com/advanced-retrieval-augmented-generation-from-theory-to-llamaindex-implementation-4de1464a9930
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python.
https://towardsdatascience.com/advanced-retrieval-augmented-generation-from-theory-to-llamaindex-implementation-4de1464a9930
Towards Data Science
Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation | Towards Data Science
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python
JupyterLab 4.1 and Notebook 7.1 are here
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension developers. This release is compatible with extensions supporting JupyterLab 4.0 and Notebook 7.0.
https://blog.jupyter.org/jupyterlab-4-1-and-notebook-7-1-are-here-20bfc3c10217
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension developers. This release is compatible with extensions supporting JupyterLab 4.0 and Notebook 7.0.
https://blog.jupyter.org/jupyterlab-4-1-and-notebook-7-1-are-here-20bfc3c10217
Medium
JupyterLab 4.1 and Notebook 7.1 are here 🎉
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension…
Mamba: The Hard Way
A post about Mamba, a recent neural architecture that can be roughly thought of as a modern recurrent neural network (RNN). The model works really well and is a legitimate competitor with the ubiquitous Transformer architecture. It has gotten a lot of attention.
https://srush.github.io/annotated-mamba/hard.html
A post about Mamba, a recent neural architecture that can be roughly thought of as a modern recurrent neural network (RNN). The model works really well and is a legitimate competitor with the ubiquitous Transformer architecture. It has gotten a lot of attention.
https://srush.github.io/annotated-mamba/hard.html
Why Python's Integer Division Floors (2010)
http://python-history.blogspot.com/2010/08/why-pythons-integer-division-floors.html
http://python-history.blogspot.com/2010/08/why-pythons-integer-division-floors.html
Blogspot
Why Python's Integer Division Floors
I was asked (again) today to explain why integer division in Python returns the floor of the result instead of truncating towards zero like...
Hancho – A simple and pleasant build system in ~500 lines of Python
https://github.com/aappleby/hancho
https://github.com/aappleby/hancho
GitHub
GitHub - aappleby/hancho: A simple pleasant build system in Python.
A simple pleasant build system in Python. Contribute to aappleby/hancho development by creating an account on GitHub.
Build a Retrieval-Augmented Generation Chatbot in 5 Minutes
In under 5 minutes and with only 100 lines of Python code, Rohan Rao, senior solutions architect at NVIDIA, demos how large language models (LLMs) can be developed and deployed for AI chatbot applications—without needing your own GPU infrastructure.
https://www.youtube.com/watch?v=N_OOfkEWcOk
In under 5 minutes and with only 100 lines of Python code, Rohan Rao, senior solutions architect at NVIDIA, demos how large language models (LLMs) can be developed and deployed for AI chatbot applications—without needing your own GPU infrastructure.
https://www.youtube.com/watch?v=N_OOfkEWcOk
YouTube
Build a Retrieval-Augmented Generation Chatbot in 5 Minutes
In under 5 minutes and with only 100 lines of Python code, Rohan Rao, senior solutions architect at NVIDIA, demos how large language models (LLMs) can be developed and deployed for AI chatbot applications—without needing your own GPU infrastructure.
This…
This…
X-PLUG / MobileAgent
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
https://github.com/X-PLUG/MobileAgent
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
https://github.com/X-PLUG/MobileAgent
GitHub
GitHub - X-PLUG/MobileAgent: Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family - X-PLUG/MobileAgent
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence.
https://www.youtube.com/watch?v=mEsleV16qdo
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence.
https://www.youtube.com/watch?v=mEsleV16qdo
YouTube
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live.
Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.…
Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.…
Advanced Web Scraping With Python: Extract Data From Any Site
This article covers how to get and manage cookies and custom headers, avoid TLS fingerprinting, recognize important HTTP headers to send in requests, and how to implement exponential-backoff HTTP request retrying.
https://jacobpadilla.com/articles/advanced-web-scraping-techniques
This article covers how to get and manage cookies and custom headers, avoid TLS fingerprinting, recognize important HTTP headers to send in requests, and how to implement exponential-backoff HTTP request retrying.
https://jacobpadilla.com/articles/advanced-web-scraping-techniques
Jacob Padilla
Advanced Web Scraping With Python: Extract Data From Any Site
Learn how to manage cookies and custom headers, avoid TLS fingerprinting, recognize important HTTP headers, and implement exponential HTTP request retrying.
gemma_pytorch
The official PyTorch implementation of Google's Gemma models.
https://github.com/google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models.
https://github.com/google/gemma_pytorch
GitHub
GitHub - google/gemma_pytorch: The official PyTorch implementation of Google's Gemma models
The official PyTorch implementation of Google's Gemma models - google/gemma_pytorch
GPT Pilot – what we learned in 6 months of working on a CodeGen pair programmer
The article discusses the learnings from six months of working on a CodeGen pair programmer, GPT Pilot, aiming to have human developers understand the codebase and provide detailed explanations of added code to facilitate collaboration between human developers and AI in coding tasks
https://blog.pythagora.ai/2024/02/19/gpt-pilot-what-did-we-learn-in-6-months-of-working-on-a-codegen-pair-programmer/
The article discusses the learnings from six months of working on a CodeGen pair programmer, GPT Pilot, aiming to have human developers understand the codebase and provide detailed explanations of added code to facilitate collaboration between human developers and AI in coding tasks
https://blog.pythagora.ai/2024/02/19/gpt-pilot-what-did-we-learn-in-6-months-of-working-on-a-codegen-pair-programmer/
Pythagora Blog
What we learned in 6 months of working on a CodeGen dev tool GPT Pilot
For the past 6 months, I’ve been working on GPT Pilot ( to understand how much we can really automate coding with AI, so I wanted to share our learnings so far and how far it’s able to go. When I s…
👍1
Deploy Mistral Large to Azure and create a conversation with Python and LangChain
Step-by-step guide to deploying Mistral Large to Azure.
https://neon.tech/blog/deploy-mistral-large-to-azure-and-chat-with-langchain
Step-by-step guide to deploying Mistral Large to Azure.
https://neon.tech/blog/deploy-mistral-large-to-azure-and-chat-with-langchain
Neon
Deploy Mistral Large to Azure and create a conversation with Python and LangChain - Neon
We’re Neon, and we’re redefining the database experience with our cloud-native serverless Postgres solution. If you’ve been looking for a database for your RAG apps that adapts to your application loads, you’re in the right place. Learn more about Neon and…
hotpdf
hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six
https://github.com/weareprestatech/hotpdf
hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six
https://github.com/weareprestatech/hotpdf
GitHub
GitHub - weareprestatech/hotpdf: hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built…
hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six - weareprestatech/hotpdf