# explaining llm.c in layman terms Training Large Language Models (LLMs), like ChatGPT, involves a large amount of code and complexity. For example, a typical LLM training project might use the PyTorch deep learning library. PyTorch is quite complex because it implements a very

🕷️ ScrapeGraphAI: You Only Scrape Once ScrapeGraphAI is a web scraping python library that uses LLMs to create scraping pipelines for websites, documents and XML files. Just say which information you want to extract and the library will do it for you! github.com/VinciGit00/Scr…

Good lord We’re cooked

this is the future of gaming - every shot is on chain

The Doge Meme dog, Kabosu has died. She was 18 years old.

used AI to turn this SFMOMA piece into an ocean

‘Killer Bean’ gameplay trailer is out Early access is coming this summer

someone finally made leetcode for machine learning, and it's everything we hoped it would be just solved the first exercise: computing a matrix-vector product without any tensor operations (only python lists allowed) deep-ml.com

Microsoft presents SpreadsheetLLM Encoding Spreadsheets for Large Language Models Spreadsheets, with their extensive two-dimensional grids, various layouts, and diverse formatting options, present notable challenges for large language models (LLMs). In response, we introduce

ナマズのコントロールリグを改良。頭の動きに追従して全身がウネウネするようにしてみました。簡単にこんな動きが作れるとは！ #GameDev #UE5

this playlist is gonna blow up cuz Andrej Karpathy sensei just recommended it from scratch

Testing the outputs of FLUX.1 Dev using the same prompt, fixed seed, steps and denoise values across all combinations of samplers and schedulers. That's 27 samplers and 7 schedulers for 189 images total.🧵(1/8)

Can we make Transformers better and more efficient for robot learning? Excited to introduce Body Transformer (BoT), an architecture that leverages robot embodiment in the attention mechanism, by treating it as a graph of sensors and actuators.

Segment Anything Model 2 (SAM 2) is a foundation model from Meta FAIR for promptable visual segmentation in images & videos. Available now for anyone to build on for free, open source under an Apache license. Try the demo ➡️ go.fb.me/ve0y8o

Scientists have mapped the entire neural network of the fruit fly. 50 million synapses between 139,000 neurons.

Here we see GTA IV overlaid with AI generated graphics. I can very well imagine that in the near future we will generate graphics with AI, because it is cheaper and faster than if everything is created in advance in a graphics engine.

Ollama 0.5 is here with structured outputs! This makes it possible to constrain a model’s output to a specific format defined by a JSON schema. Some examples include: - Parsing data from documents - Extracting data from images - Structuring all language model responses - More

NVIDIA just released free online courses on AI. No payment or fees are required! Here are 6 courses you don't want to miss in 2024:

Visualization of Convolutional Neural Network

AR breakthrough - Impose 2D MRI results on Real Life Patients. This is just amazing.