PacktPublishing / LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
https://github.com/PacktPublishing/LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
https://github.com/PacktPublishing/LLM-Engineers-Handbook
GitHub
GitHub - PacktPublishing/LLM-Engineers-Handbook: The LLM's practical guide: From the fundamentals to deploying advanced LLM and…
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices - PacktPublishing/LLM-Engineers-Handbook
garak
garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses.
https://github.com/NVIDIA/garak
garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses.
https://github.com/NVIDIA/garak
GitHub
GitHub - NVIDIA/garak: the LLM vulnerability scanner
the LLM vulnerability scanner. Contribute to NVIDIA/garak development by creating an account on GitHub.
LAMBDA
A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox.
https://github.com/zycyc/LAMBDA
A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox.
https://github.com/zycyc/LAMBDA
GitHub
GitHub - zycyc/LAMBDA: Local & Private LLM that drafts responses LIKE you automatically
Local & Private LLM that drafts responses LIKE you automatically - zycyc/LAMBDA
Final Encoding in RPython Interpreters
The article discusses implementing a final encoding approach in RPython for interpreter design, focusing on a Brainfk interpreter as an example. It explores the benefits of using final encoding over initial encoding, including potential performance improvements and a different architectural approach to building interpreters in RPython.
https://pypy.org/posts/2024/11/guest-post-final-encoding-in-rpython.html
The article discusses implementing a final encoding approach in RPython for interpreter design, focusing on a Brainfk interpreter as an example. It explores the benefits of using final encoding over initial encoding, including potential performance improvements and a different architectural approach to building interpreters in RPython.
https://pypy.org/posts/2024/11/guest-post-final-encoding-in-rpython.html
PyPy
Guest Post: Final Encoding in RPython Interpreters
Introduction
This post started as a quick note summarizing a recent experiment I carried
out upon a small RPython interpreter by rewriting it in an uncommon style. It
is written for folks who have alr
This post started as a quick note summarizing a recent experiment I carried
out upon a small RPython interpreter by rewriting it in an uncommon style. It
is written for folks who have alr
open-notebook
An Open Source implementation of Notebook LM with more flexibility and features.
https://github.com/lfnovo/open-notebook
An Open Source implementation of Notebook LM with more flexibility and features.
https://github.com/lfnovo/open-notebook
GitHub
GitHub - lfnovo/open-notebook: An Open Source implementation of Notebook LM with more flexibility and features
An Open Source implementation of Notebook LM with more flexibility and features - lfnovo/open-notebook
Am I the only one who forgets everyday how to plot on matplotlib?
https://www.reddit.com/r/learnpython/comments/1gyrjjf/am_i_the_only_one_who_forgets_everyday_how_to/
https://www.reddit.com/r/learnpython/comments/1gyrjjf/am_i_the_only_one_who_forgets_everyday_how_to/
Reddit
From the learnpython community on Reddit
Explore this post and more from the learnpython community
Python Tutorial: Stock Trading Bot
This tutorial teaches how to build a stock trading bot using Django and TimescaleDB, covering data extraction from APIs, analysis, and automated recommendations. It integrates Celery for background processing and demonstrates advanced database queries in Django, showcasing the power of time series data handling for various applications beyond stock market analysis.
https://www.youtube.com/watch?v=O3O1z5hTdUM
This tutorial teaches how to build a stock trading bot using Django and TimescaleDB, covering data extraction from APIs, analysis, and automated recommendations. It integrates Celery for background processing and demonstrates advanced database queries in Django, showcasing the power of time series data handling for various applications beyond stock market analysis.
https://www.youtube.com/watch?v=O3O1z5hTdUM
YouTube
Python Tutorial: Stock Trading Bot
⭐️ Sign up for Timescale right now: https://tsdb.co/justin
Build a Stock Trading Bot with Python
Learn how to use time series data with Django by building a powerful stock trading bot. You'll learn how to extract stock market data via two API services…
Build a Stock Trading Bot with Python
Learn how to use time series data with Django by building a powerful stock trading bot. You'll learn how to extract stock market data via two API services…
FireDucks
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
fireducks-dev.github.io
FireDucks is a fast DataFrame python library with pandas-api
Bagels - Expense tracker that lives in your terminal (TUI)
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
Reddit
From the Python community on Reddit: Bagels - Expense tracker that lives in your terminal (TUI)
Explore this post and more from the Python community
letta-ai / letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
GitHub
GitHub - letta-ai/letta: Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management. - letta-ai/letta
Ollama Course – Build AI Apps Locally
Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs.
https://www.youtube.com/watch?v=GWB9ApTPTv4
Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs.
https://www.youtube.com/watch?v=GWB9ApTPTv4
YouTube
Ollama Course – Build AI Apps Locally
Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter…
bionemo-framework
A framework for building and adapting AI models in drug discovery at scale.
https://github.com/NVIDIA/bionemo-framework
A framework for building and adapting AI models in drug discovery at scale.
https://github.com/NVIDIA/bionemo-framework
GitHub
GitHub - NVIDIA/bionemo-framework: BioNeMo Framework: For building and adapting AI models in drug discovery at scale
BioNeMo Framework: For building and adapting AI models in drug discovery at scale - NVIDIA/bionemo-framework
The Best No-Nonsense VSCode Setup for Python Devs
Setting up VSCode for Python development doesn't have to be a headache! This video walks you through a complete and practical VSCode setup that tackles common pain points—like missing imports, mismatched Python versions, and pytest issues with finding tests.
https://www.youtube.com/watch?v=PwGKhvqJCQM
Setting up VSCode for Python development doesn't have to be a headache! This video walks you through a complete and practical VSCode setup that tackles common pain points—like missing imports, mismatched Python versions, and pytest issues with finding tests.
https://www.youtube.com/watch?v=PwGKhvqJCQM
YouTube
COMPLETE No-Nonsense VSCode Setup for Python Devs
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Setting up VSCode for Python development doesn't have to be a headache! In this video, I walk you through a complete and practical VSCode setup that tackles common pain points—like…
Setting up VSCode for Python development doesn't have to be a headache! In this video, I walk you through a complete and practical VSCode setup that tackles common pain points—like…
Promptic
Promptic aims to be the "requests" of LLM development -- the most productive and pythonic way to build LLM applications.
https://github.com/knowsuchagency/promptic
Promptic aims to be the "requests" of LLM development -- the most productive and pythonic way to build LLM applications.
https://github.com/knowsuchagency/promptic
GitHub
GitHub - knowsuchagency/promptic: 90% of what you need for LLM app development. Nothing you don't.
90% of what you need for LLM app development. Nothing you don't. - knowsuchagency/promptic
Abusing Talon to use my eye tracker in a project
The author describes how they used Talon, a voice control software, to access eye tracker data for a game project. They created a Python script within Talon to expose eye gaze data via a local web server, allowing integration with a Rust program
https://ntietz.com/blog/abusing-talon-eyetracker/
The author describes how they used Talon, a voice control software, to access eye tracker data for a game project. They created a Python script within Talon to expose eye gaze data via a local web server, allowing integration with a Rust program
https://ntietz.com/blog/abusing-talon-eyetracker/
Hiding a message in my PyTorch weights
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/
Gabornyeki
Hiding a message in my PyTorch weights | Gábor Nyéki
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
Let's build a AI Photo Generator with Python and FastAPI
This course teaches how to fine-tune the Flux AI model using Replicate to create personalized image generation. It also covers building a FastAPI service to access and utilize this model efficiently.
https://www.youtube.com/watch?v=lV82LDKT16A
This course teaches how to fine-tune the Flux AI model using Replicate to create personalized image generation. It also covers building a FastAPI service to access and utilize this model efficiently.
https://www.youtube.com/watch?v=lV82LDKT16A
YouTube
Let's build a AI Photo Generator with Python and FastAPI
"I want an image of me riding a unicorn" - is now here. In this course we fine-tune the amazing Flux open-source image generation AI model.
To make this happen, we use Replicate's AI services to train and fine-tune Flux with our data. You can upload about…
To make this happen, we use Replicate's AI services to train and fine-tune Flux with our data. You can upload about…
fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
GitHub
GitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queries
RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag