@larasl.bsky.social
Reposted
Today on OpenCV Live, we offer a reprieve from seeing your retirement fund slowly disappear in the form of an Introduction to Vision Language Models! It's a sneak peek of Satya's Embedded Vision Summit Workshop topic www.youtube.com/watch?v=trYj... #OpenCV #ComputerVision #AI
Introduction to Vision Language Models - OpenCV Live! 166
YouTube video by OpenCV
www.youtube.com
April 3, 2025 at 3:29 PM
Today on OpenCV Live, we offer a reprieve from seeing your retirement fund slowly disappear in the form of an Introduction to Vision Language Models! It's a sneak peek of Satya's Embedded Vision Summit Workshop topic www.youtube.com/watch?v=trYj... #OpenCV #ComputerVision #AI
Reposted
On today's episode of OpenCV Live we're continuing our educational series on the various ways 3D scenes are represented in the modern CV stack. Last time we discussed Neural Radience Fields, or NeRFs, and today we're talking about Gaussian Splats. youtube.com/live/cn06Jij...
A Guide to Gaussian Splatting - OpenCV Live! 162
YouTube video by OpenCV
youtube.com
March 6, 2025 at 4:20 PM
On today's episode of OpenCV Live we're continuing our educational series on the various ways 3D scenes are represented in the modern CV stack. Last time we discussed Neural Radience Fields, or NeRFs, and today we're talking about Gaussian Splats. youtube.com/live/cn06Jij...
Reposted
Distill-Any-Depth, a new SOTA monocular depth estimation model trained 🗿 ✨
Model achieves SOTA performance across both indoor and outdoor scenes! For more 👇
Model achieves SOTA performance across both indoor and outdoor scenes! For more 👇
March 1, 2025 at 10:46 AM
Distill-Any-Depth, a new SOTA monocular depth estimation model trained 🗿 ✨
Model achieves SOTA performance across both indoor and outdoor scenes! For more 👇
Model achieves SOTA performance across both indoor and outdoor scenes! For more 👇
Reposted
🐍📰 Using the "not" Boolean Operator in Python
#python
#python
Using the "not" Boolean Operator in Python
In this step-by-step tutorial, you'll learn how Python's "not" operator works and how to use it in your code. You'll get to know its features and see what kind of programming problems you can solve by using "not" in Python:
realpython.com
March 1, 2025 at 11:30 PM
🐍📰 Using the "not" Boolean Operator in Python
#python
#python
Reposted
Our Neo4j and LLM Fundamentals course is a must! 💥
👉 Stop hallucinations by grounding your LLMs with a graph database.
👉 You will use Langchain and Python to interact with an LLM and Neo4j.
Enroll in #GraphAcademy today for free:
bit.ly/3VMD4WM
#Neo4j
👉 Stop hallucinations by grounding your LLMs with a graph database.
👉 You will use Langchain and Python to interact with an LLM and Neo4j.
Enroll in #GraphAcademy today for free:
bit.ly/3VMD4WM
#Neo4j
March 1, 2025 at 12:34 PM
Our Neo4j and LLM Fundamentals course is a must! 💥
👉 Stop hallucinations by grounding your LLMs with a graph database.
👉 You will use Langchain and Python to interact with an LLM and Neo4j.
Enroll in #GraphAcademy today for free:
bit.ly/3VMD4WM
#Neo4j
👉 Stop hallucinations by grounding your LLMs with a graph database.
👉 You will use Langchain and Python to interact with an LLM and Neo4j.
Enroll in #GraphAcademy today for free:
bit.ly/3VMD4WM
#Neo4j
Reposted
🚀 RAG Pipeline Guide
Learn to build production-ready RAG systems using Qdrant vector DB, FastAPI, and LangChain's LCEL for sophisticated retrieval chains.
Key features:
- Async vector search
- Type-safe FastAPI endpoints
- LCEL RAG pipelines
Learn to build production-ready RAG systems using Qdrant vector DB, FastAPI, and LangChain's LCEL for sophisticated retrieval chains.
Key features:
- Async vector search
- Type-safe FastAPI endpoints
- LCEL RAG pipelines
March 1, 2025 at 7:11 PM
🚀 RAG Pipeline Guide
Learn to build production-ready RAG systems using Qdrant vector DB, FastAPI, and LangChain's LCEL for sophisticated retrieval chains.
Key features:
- Async vector search
- Type-safe FastAPI endpoints
- LCEL RAG pipelines
Learn to build production-ready RAG systems using Qdrant vector DB, FastAPI, and LangChain's LCEL for sophisticated retrieval chains.
Key features:
- Async vector search
- Type-safe FastAPI endpoints
- LCEL RAG pipelines
Reposted
🐍📰 Raining Outside? Build a Weather CLI App With Python
#python
#python
Raining Outside? Build a Weather CLI App With Python
In this tutorial, you'll write a nicely formatted Python CLI app that displays information about the current weather in any city you provide the name for:
realpython.com
February 23, 2025 at 11:30 PM
🐍📰 Raining Outside? Build a Weather CLI App With Python
#python
#python
Reposted
I’m teaching a grad course for the first time (a bit terrifying 😅) and I’ve decided to write a short blog post after each lecture, that will highlight a key takeaway from it and reflect on what can be improved.
First one ⬇️
First one ⬇️
February 21, 2025 at 1:10 PM
I’m teaching a grad course for the first time (a bit terrifying 😅) and I’ve decided to write a short blog post after each lecture, that will highlight a key takeaway from it and reflect on what can be improved.
First one ⬇️
First one ⬇️
Reposted
Getting Started with Real-World Robots
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md
February 22, 2025 at 3:15 AM
Getting Started with Real-World Robots
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md
Reposted
Can we merge the query and key weight matrices in an LLM into a single covariance matrix and still train effectively? Here are some promising early results from a reader: github.com/rasbt/LLMs-f...
Anyone else familiar with projects that tried this?
Anyone else familiar with projects that tried this?
February 14, 2025 at 2:13 PM
Can we merge the query and key weight matrices in an LLM into a single covariance matrix and still train effectively? Here are some promising early results from a reader: github.com/rasbt/LLMs-f...
Anyone else familiar with projects that tried this?
Anyone else familiar with projects that tried this?
Reposted
🐍📰 Effective Python Testing With Pytest
#python
#python
Effective Python Testing With Pytest
In this tutorial, you'll learn how to take your testing to the next level with pytest. You'll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective
realpython.com
February 6, 2025 at 11:30 PM
🐍📰 Effective Python Testing With Pytest
#python
#python
Reposted
Just read the s1: Simple Test-Time Scaling paper. Super interesting approach to improving reasoning models!
TL;DR:
1. SFT on 1k curated examples w/ reasoning traces.
2. Control response length w/ budget forcing:
"Wait" tokens → longer reasoning/self-correction.
"Final Answer:" → enforce stopping.
TL;DR:
1. SFT on 1k curated examples w/ reasoning traces.
2. Control response length w/ budget forcing:
"Wait" tokens → longer reasoning/self-correction.
"Final Answer:" → enforce stopping.
February 7, 2025 at 2:00 PM
Just read the s1: Simple Test-Time Scaling paper. Super interesting approach to improving reasoning models!
TL;DR:
1. SFT on 1k curated examples w/ reasoning traces.
2. Control response length w/ budget forcing:
"Wait" tokens → longer reasoning/self-correction.
"Final Answer:" → enforce stopping.
TL;DR:
1. SFT on 1k curated examples w/ reasoning traces.
2. Control response length w/ budget forcing:
"Wait" tokens → longer reasoning/self-correction.
"Final Answer:" → enforce stopping.
Reposted
🤖📚 LangGraph Agent Tutorial
A practical guide showing you how to build AI agents using LangGraph. This tutorial demonstrates chatbot implementation with state management and agent interactions, powered by LangGraph's robust architecture.
A practical guide showing you how to build AI agents using LangGraph. This tutorial demonstrates chatbot implementation with state management and agent interactions, powered by LangGraph's robust architecture.
January 8, 2025 at 2:29 AM
🤖📚 LangGraph Agent Tutorial
A practical guide showing you how to build AI agents using LangGraph. This tutorial demonstrates chatbot implementation with state management and agent interactions, powered by LangGraph's robust architecture.
A practical guide showing you how to build AI agents using LangGraph. This tutorial demonstrates chatbot implementation with state management and agent interactions, powered by LangGraph's robust architecture.
Reposted
It remembers your feedback too, with built in memory. Plus it even finds, validates and ranks by relevancy images for your post!
To top it all off, it schedules the posts based on a priority level set by you, ensuring each the posts are spread out, and uploaded at optimal times.
To top it all off, it schedules the posts based on a priority level set by you, ensuring each the posts are spread out, and uploaded at optimal times.
January 15, 2025 at 6:35 PM
It remembers your feedback too, with built in memory. Plus it even finds, validates and ranks by relevancy images for your post!
To top it all off, it schedules the posts based on a priority level set by you, ensuring each the posts are spread out, and uploaded at optimal times.
To top it all off, it schedules the posts based on a priority level set by you, ensuring each the posts are spread out, and uploaded at optimal times.
Reposted
🤖 Build AI Agents with LangGraph
A practical tutorial showing you how to create AI agents and chatbots using LangGraph. This guide walks you through state management and LLM integration with real code examples, powered by modern LLM providers.
Learn more: levelup.gitconnected.com/learn-how-to...
A practical tutorial showing you how to create AI agents and chatbots using LangGraph. This guide walks you through state management and LLM integration with real code examples, powered by modern LLM providers.
Learn more: levelup.gitconnected.com/learn-how-to...
January 18, 2025 at 6:18 PM
🤖 Build AI Agents with LangGraph
A practical tutorial showing you how to create AI agents and chatbots using LangGraph. This guide walks you through state management and LLM integration with real code examples, powered by modern LLM providers.
Learn more: levelup.gitconnected.com/learn-how-to...
A practical tutorial showing you how to create AI agents and chatbots using LangGraph. This guide walks you through state management and LLM integration with real code examples, powered by modern LLM providers.
Learn more: levelup.gitconnected.com/learn-how-to...
Reposted
🤖 🔄 Build Smarter AI Agents
LangGraph introduces state-aware AI workflows for sophisticated reasoning and decision-making. This tutorial shows you how to create advanced AI applications with powerful cyclical processing capabilities.
Learn more: datasciencedojo.com/blog/langgra...
LangGraph introduces state-aware AI workflows for sophisticated reasoning and decision-making. This tutorial shows you how to create advanced AI applications with powerful cyclical processing capabilities.
Learn more: datasciencedojo.com/blog/langgra...
January 22, 2025 at 1:10 PM
🤖 🔄 Build Smarter AI Agents
LangGraph introduces state-aware AI workflows for sophisticated reasoning and decision-making. This tutorial shows you how to create advanced AI applications with powerful cyclical processing capabilities.
Learn more: datasciencedojo.com/blog/langgra...
LangGraph introduces state-aware AI workflows for sophisticated reasoning and decision-making. This tutorial shows you how to create advanced AI applications with powerful cyclical processing capabilities.
Learn more: datasciencedojo.com/blog/langgra...
Reposted
A Fully Local "Deep Researcher" w/ Deepseek-R1
deepseek_ai-R1 is an open source, highly performant reasoning model. We used ollama+LangGraph to build and test a local research assistant w/ Deepseek-R1-14b.
Video:
youtu.be/sGUjmyfof4Q
Repo: github.com/langchain-ai...
deepseek_ai-R1 is an open source, highly performant reasoning model. We used ollama+LangGraph to build and test a local research assistant w/ Deepseek-R1-14b.
Video:
youtu.be/sGUjmyfof4Q
Repo: github.com/langchain-ai...
January 23, 2025 at 6:26 PM
A Fully Local "Deep Researcher" w/ Deepseek-R1
deepseek_ai-R1 is an open source, highly performant reasoning model. We used ollama+LangGraph to build and test a local research assistant w/ Deepseek-R1-14b.
Video:
youtu.be/sGUjmyfof4Q
Repo: github.com/langchain-ai...
deepseek_ai-R1 is an open source, highly performant reasoning model. We used ollama+LangGraph to build and test a local research assistant w/ Deepseek-R1-14b.
Video:
youtu.be/sGUjmyfof4Q
Repo: github.com/langchain-ai...
Reposted
🐍📰 Minimax in Python: Learn How to Lose the Game of Nim
#python
#python
Minimax in Python: Learn How to Lose the Game of Nim
The minimax algorithm can be used to find optimal strategies in many different games. In this tutorial, you'll learn how to implement minimax in Python while playing the game of Nim. You'll also learn how you can make the algorithm more efficient with ...
realpython.com
January 24, 2025 at 11:30 PM
🐍📰 Minimax in Python: Learn How to Lose the Game of Nim
#python
#python
Reposted
🐍📺 Creating a Discord Bot in Python [Video]
In this course, you'll learn how to make a Discord bot in Python and interact with several APIs. You'll learn how to handle events, accept commands, validate and verify input, and more!
##python
In this course, you'll learn how to make a Discord bot in Python and interact with several APIs. You'll learn how to handle events, accept commands, validate and verify input, and more!
##python
Creating a Discord Bot in Python
In this course, you'll learn how to make a Discord bot in Python and interact with several APIs. You'll learn how to handle events, accept commands, validate and verify input, and all the basics that can help you create useful and exciting automations!
realpython.com
January 22, 2025 at 3:00 AM
🐍📺 Creating a Discord Bot in Python [Video]
In this course, you'll learn how to make a Discord bot in Python and interact with several APIs. You'll learn how to handle events, accept commands, validate and verify input, and more!
##python
In this course, you'll learn how to make a Discord bot in Python and interact with several APIs. You'll learn how to handle events, accept commands, validate and verify input, and more!
##python
Reposted
🐍🎧 The Real Python Podcast — Securing Your Python Software Supply Chain With Dustin Ingram
Securing Your Python Software Supply Chain With Dustin Ingram
How well do you know your software supply chain? When you PIP install a package, what steps can you take to minimize the risk of installing something malicious? This week on the show, we have Dustin Ingram, a director of the Python Software Foundation ...
realpython.com
January 22, 2025 at 5:00 AM
🐍🎧 The Real Python Podcast — Securing Your Python Software Supply Chain With Dustin Ingram
Reposted
🛍️🛒 New and delightful use case for Gemini 2.0: finding look-alike products using Google Shopping!
1⃣ Show Gemini an outfit you like.
2⃣ Have it generate a Search term.
3⃣ Use an API to find Shopping examples.
👇I hard-coded for dresses, but could easily be expanded to other items:
1⃣ Show Gemini an outfit you like.
2⃣ Have it generate a Search term.
3⃣ Use an API to find Shopping examples.
👇I hard-coded for dresses, but could easily be expanded to other items:
January 21, 2025 at 9:43 PM
🛍️🛒 New and delightful use case for Gemini 2.0: finding look-alike products using Google Shopping!
1⃣ Show Gemini an outfit you like.
2⃣ Have it generate a Search term.
3⃣ Use an API to find Shopping examples.
👇I hard-coded for dresses, but could easily be expanded to other items:
1⃣ Show Gemini an outfit you like.
2⃣ Have it generate a Search term.
3⃣ Use an API to find Shopping examples.
👇I hard-coded for dresses, but could easily be expanded to other items:
Reposted
A reader recently shared a resource on training tokenizers for new languages which reminded me I originally wrote a BPE Tokenizer for my “LLMs from Scratch” book but never shared it!
If you are looking a weekend project, here you go: sebastianraschka.com/blog/2025/bp...
If you are looking a weekend project, here you go: sebastianraschka.com/blog/2025/bp...
Implementing A Byte Pair Encoding (BPE) Tokenizer From Scratch
This is a standalone notebook implementing the popular byte pair encoding (BPE) tokenization algorithm, which is used in models like GPT-2 to GPT-4, Llama 3, etc., from scratch for educational purpose...
sebastianraschka.com
January 19, 2025 at 3:09 PM
A reader recently shared a resource on training tokenizers for new languages which reminded me I originally wrote a BPE Tokenizer for my “LLMs from Scratch” book but never shared it!
If you are looking a weekend project, here you go: sebastianraschka.com/blog/2025/bp...
If you are looking a weekend project, here you go: sebastianraschka.com/blog/2025/bp...
Reposted
What AI can tell us about microscope slides: classifying cancer cells, predicting prognosis, and identifying genetic mutations that may drive treatment choices.
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
Rachel Thomas, PhD - What AI can tell us about microscope slides
an AI researcher going back to school for immunology
rachel.fast.ai
January 16, 2025 at 10:13 PM
What AI can tell us about microscope slides: classifying cancer cells, predicting prognosis, and identifying genetic mutations that may drive treatment choices.
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
Reposted
It can be hard to remember specific terminal commands.
Luckily with VS Code and Inline Chat in the terminal, you can simply ask AI and then run the command directly.
Luckily with VS Code and Inline Chat in the terminal, you can simply ask AI and then run the command directly.
January 16, 2025 at 11:05 PM
It can be hard to remember specific terminal commands.
Luckily with VS Code and Inline Chat in the terminal, you can simply ask AI and then run the command directly.
Luckily with VS Code and Inline Chat in the terminal, you can simply ask AI and then run the command directly.