Hacker News with Generative AI: Machine Learning

Show HN: One Prompt – A super framework for prompt engineering (github.com/VaibhavAcharya)
A library that brings structure, validation, and reliability to prompt engineering.
Prompt Engineering, Machine Learning, Libraries, Software, GitHub
5 points by vaibhavacharya_ 14 hours ago | 0 comments
Grant Sanderson: Visualizing transformers and attention [video] (youtube.com)
Machine Learning, Deep Learning, Artificial Intelligence, Video, Computer Science
28 points by skadamat 14 hours ago | 0 comments
Decisions and Dragons (decisionsanddragons.com)
A guide to the perilous world of reinforcement learning.
Reinforcement Learning, Machine Learning, Artificial Intelligence, Computer Science
6 points by todsacerdoti 1 day ago | 0 comments
AI can learn to think before it speaks (ft.com)
AI can learn to think before it speaks
Artificial Intelligence, Language Models, Machine Learning
5 points by quick_brown_fox 1 day ago | 0 comments
Large-Scale Dimension Reduction with Both Global and Local Structure (2021) [pdf] (jmlr.org)
Machine Learning, Dimensionality Reduction, Computer Science
40 points by chaosprint 1 day ago | 8 comments
Niantic announces “Large Geospatial Model” trained on Pokémon Go player data (nianticlabs.com)
At Niantic, we are pioneering the concept of a Large Geospatial Model that will use large-scale machine learning to understand a scene and connect it to millions of other scenes globally.
Machine Learning, Artificial Intelligence, Location Data, Mapping, Games
326 points by bookstore-romeo 1 day ago | 259 comments
PyTorch 101: Understanding Graphs, Automatic Differentiation and Autograd (digitalocean.com)
PyTorch is one of the foremost python deep learning libraries out there. It’s the go to choice for deep learning research, and as each days passes by, more and more companies and research labs are adopting this library.
Deep Learning, Python, Machine Learning, PyTorch
55 points by teleforce 2 days ago | 3 comments
Batched reward model inference and Best-of-N sampling (raw.sh)
Reward models have been a key part of reinforcement learning on top of LLMs, used broadly in techniques like RLHF and as LLM-as-a-judge critics in evals.
Reinforcement Learning, Artificial Intelligence, Machine Learning
27 points by rawsh 2 days ago | 0 comments
Show HN: Nosia – Privacy-focused AI to run models on your own data and device (github.com/nosia-ai)
Nosia is a platform that allows you to run an AI model on your own data. It is designed to be easy to install and use.
Privacy, AI, Open Source, Machine Learning
8 points by tontoncyber 2 days ago | 5 comments
Fireworks F1: A Breakthrough in Complex Reasoning with Compound AI (fireworks.ai)
At Fireworks, we believe the future of AI is shifting to compound AI systems that combine specialized models and tools to achieve better performance, reliability and control, compared to a single model.
Artificial Intelligence, Machine Learning, Compound AI
15 points by sunaookami 2 days ago | 8 comments
GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation (nirvanalan.github.io)
GaussianAnything generates high-quality and editable surfel Gaussians through a cascaded 3D diffusion pipeline, given single-view images or texts as the conditions.
Generative AI, 3D Modeling, Machine Learning, Computer Vision
82 points by lnyan 3 days ago | 9 comments
Awesome-Geo (github.com/DavidHuji)
Awesome list for research on GEO (Generative Engine Optimization).
Machine Learning, Generative AI, Research, Software, Lists
4 points by davenu 3 days ago | 1 comments
You could have designed state of the art positional encoding (fleetwood.dev)
This post walks you through the step-by-step discovery of state-of-the-art positional encoding in transformer models. We will achieve this by iteratively improving our approach to encoding position, arriving at Rotary Postional Encoding (RoPE) used in the latest LLama 3.2 release and most modern transformers. This post intends to limit the mathematical knowledge required to follow along, but some basic linear algebra, trigonometry and understanding of self attention is expected.
Transformers, Machine Learning, Computer Science, Deep Learning
210 points by Philpax 3 days ago | 44 comments
Show HN: Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search (github.com/MinishLab)
Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance. Our best model is the most performant static embedding model in the world. See our results here, or dive in to see how it works.
Machine Learning, Semantic Search, Open Source, Performance Optimization
27 points by Pringled 4 days ago | 4 comments
Show HN: AnyModal – Train Your Own Multimodal LLMs (github.com/ritabratamaiti)
AnyModal is a modular and extensible framework for integrating diverse input modalities (e.g., images, audio) into large language models (LLMs). It enables seamless tokenization, encoding, and language generation using pre-trained models for various modalities.
Generative AI, Software, Open Source, Machine Learning
8 points by ritabratamaiti 4 days ago | 0 comments
Towards Nyquist Learners (gwern.net)
Machine Learning, Artificial Intelligence, Research
66 points by sleepingreset 4 days ago | 49 comments
Overview of differential geometry for Hamiltonian Monte Carlo (arxiv.org)
Hamiltonian Monte Carlo has proven a remarkable empirical success, but only recently have we begun to develop a rigorous understanding of why it performs so well on difficult problems and how it is best applied in practice.
Machine Learning, Mathematics, Statistics
8 points by somethingsome 4 days ago | 0 comments
Convolutional Differentiable Logic Gate Networks (arxiv.org)
With the increasing inference cost of machine learning models, there is a growing interest in models with fast and efficient inference.
Machine Learning, Computer Science, Artificial Intelligence, Deep Learning, Logic Gates
26 points by lnyan 4 days ago | 4 comments
Show HN: ColiVara – State of the Art RAG API with Vision Models (github.com/tjmlabs)
ColiVara = COntextualized Late Interaction Vision Augmented Retrieval API
Computer Vision, APIs, Open Source, AI, Machine Learning
10 points by jonathan-adly 4 days ago | 0 comments
Numpyro: Probabilistic programming with NumPy powered by Jax (github.com/pyro-ppl)
NumPyro is a lightweight probabilistic programming library that provides a NumPy backend for Pyro. We rely on JAX for automatic differentiation and JIT compilation to GPU / CPU. NumPyro is under active development, so beware of brittleness, bugs, and changes to the API as the design evolves.
Probabilistic Programming, Python, Machine Learning, Deep Learning, NumPy
115 points by lnyan 5 days ago | 29 comments
Using VS Code to track and visualize ML experiments (visualstudio.com)
Run, compare, visualize, and track machine learning experiments right in VS Code. This extension uses DVC, an open-source data versioning and ML experiment management tool. No additional services or databases are required.
Machine Learning, Tools, Experiment Management
5 points by shcheklein 5 days ago | 0 comments
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization (rccchoudhury.github.io)
We present Run-Length Tokenization (RLT), a simple and efficient approach to speed up video transformers by removing redundant tokens from the input.
Computer Vision, Machine Learning, Video Processing, Deep Learning, Transformers
74 points by jasondavies 5 days ago | 16 comments
1-Bit AI Infrastructure (arxiv.org)
Recent advances in 1-bit Large Language Models (LLMs), such as BitNet and BitNet b1.58, present a promising approach to enhancing the efficiency of LLMs in terms of speed and energy consumption.
Generative AI, Machine Learning, Efficiency, Hardware
150 points by galeos 6 days ago | 30 comments
How AI is beating VCs in their own game (arxiv.org)
Traditional decision tree algorithms are explainable but struggle with non-linear, high-dimensional data, limiting its applicability in complex decision-making.
Artificial Intelligence, Venture Capital, Machine Learning
10 points by yihlamur 7 days ago | 12 comments
The barriers to AI engineering are crumbling fast (helix.ml)
A couple of weeks ago, I gave a talk at Hannah Foxwell’s amazing AI for the Rest of Us conference about something that's been brewing in my mind after years of working in DevOps, MLOps, and now GenAI: the barriers to AI engineering are crumbling fast. The tools have gotten good enough that if you can handle an IDE and push some YAML to git, you're already qualified.
Artificial Intelligence, Software Engineering, Machine Learning
250 points by lewq 7 days ago | 187 comments
The geometry of data: the missing metric tensor and the Stein score [Part II] (christianperone.com)
I’m writing this second part of the series because I couldn’t find any formalisation of this metric tensor that naturally arises from the Stein score (especially when used with learned models), and much less blog posts or articles about it, which is surprising given its deep connection between score-based generative models, diffusion models and the geometry of the data manifold.
Machine Learning, Data Science, Generative Models, Geometry
63 points by perone 7 days ago | 7 comments
Show HN: I made a scam detector and build a public database for it (antiphish.ai)
Since our founding, we've been dedicated to securing your online experience. Join the community of long-time users who trust us with their protection.
Security, Online Safety, Machine Learning, Data
8 points by ngalongc 7 days ago | 6 comments
Play Dialog: A contextual turn-taking TTS model like NotebookLM Playground (play.ai)
PlayNoteAgentsPlaygroundPricingAPICommunityConversation (2 Speakers)Narration (1 Speaker)LanguageSpeaker 1 VoiceSpeaker 2 VoiceConnecting...Random PromptCreate Voice Clone
Speech Recognition, Artificial Intelligence, Text-to-Speech, Machine Learning
49 points by dulldata 7 days ago | 12 comments
You're Not Testing Your AI Well Enough (tryreva.com)
Large Language Models (LLMs) have revolutionised machine learning, offering unprecedented versatility across various tasks. However, this flexibility poses a significant challenge: how do we effectively evaluate LLMs to ensure they’re suitable for specific applications?
Generative AI, Machine Learning, Evaluation
9 points by alexkirwan 8 days ago | 2 comments
Benchmarking Vision, Language, and Action Models on Robotic Learning Tasks (multinet.ai)
Vision-language-action (VLA) models represent a promising direction for developing general-purpose robotic systems, demonstrating the ability to combine visual understanding, language comprehension, and action generation.
Robotics, Artificial Intelligence, Computer Vision, Machine Learning
11 points by hsikka 8 days ago | 0 comments