Install
RedditVote46FlipShareTweet46 SharesRedditVote46FlipShareTweet46 Shares
- 1,173articles · 365d
- 4+ hour agolatest article
- Sep 13, 2025earliest in window
- 97%with images · 26 videos
- 339avg words
- Science & Technology 1,152
- Software Dev. 999
- Computers & Electronics 896
- Science & Nature 147
- Jobs & Education 101
- STEM 83
- News 33
- Business & Industrial 17
Please confirm you are human
This browser or connection looks automated. Press and continuously hold the control for 3 seconds to enable Google-hosted web results and, when separately allowed, AI-assisted answers.
A successful check enables 100 search requests. Interactive access does not authorize scraping, systematic collection, or reuse of search output.
News
Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch
3+ mon, 1+ week ago (1040+ words) The Transformer’s attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright. A new paper takes a different route. It keeps softmax attention and bolts on a correction branch. A team of researchers from…...
How to Build an End-to-End Production Grade Machine Learning Pipeline with ZenML, Including Custom Materializers, Metadata Tracking, and Hyperparameter Optimization
4+ mon, 1+ week ago (555+ words) In this tutorial, we walk through an end-to-end implementation of an advanced machine learning pipeline using ZenML. We begin by setting up the environment and initializing a ZenML project, then define a custom materializer that enables seamless serialization and metadata…...
Hugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows
5+ mon, 1+ week ago (223+ words) In the early stages of the LLM boom, post-training was often treated as an experimental ‘dark art.’ TRL v1.0 aims to change that by providing a consistent developer experience built on three core pillars: a dedicated Command Line Interface (CLI), a…...
Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning
5+ mon, 1+ week ago (334+ words) In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence…...
Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
5+ mon, 3+ week ago (232+ words) We install the required libraries and import all the modules needed for the reinforcement learning pipeline. We initialize the environment, define the neural network architecture using Haiku, and set up the Q-network that predicts action values. We also initialize the…...
Mistral AI Releases Mistral Small 4: A 119B-Parameter MoE Model that Unifies Instruct, Reasoning, and Multimodal Workloads
5+ mon, 3+ week ago (971+ words) Mistral AI has released Mistral Small 4, a new model in the Mistral Small family designed to consolidate several previously separate capabilities into a single deployment target. Mistral team describes Small 4 as its first model to combine the roles associated with…...
Meet SymTorch: A PyTorch Library that Translates Deep Learning Models into Human-Readable Equations
6+ mon, 1+ week ago (223+ words) SymTorch simplifies the engineering required to extract symbolic equations from trained models by automating data movement and hook management. The library interfaces with PySR, which uses a multi-population genetic algorithm to find equations that balance accuracy and complexity on a…...
A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
6+ mon, 3+ week ago (207+ words) We set up the execution environment and import all required libraries for building a stateful agent. We also define core paths and utility functions for time handling and database connections. It establishes the foundational infrastructure that the rest of the…...
How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation
7+ mon, 1+ day ago (262+ words) We install the required libraries and import all the necessary modules for training and evaluation. We set a deterministic seed, so our sampling and training behavior stay consistent across runs. We also ensure PyTorch and CUDA RNGs are aligned when…...
Google AI Releases TranslateGemma: A New Family of Open Translation Models Built on Gemma 3 with Support for 55 Languages
7+ mon, 4+ week ago (492+ words) Google AI has released TranslateGemma, a suite of open machine translation models built on Gemma 3 and targeted at 55 languages. The family comes in 4B, 12B and 27B parameter sizes. It is designed to run across devices from mobile and edge hardware to laptops…...