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News

MarkTechPost
marktechpost.com > 05/31/2026 > parallax-a-parameterized-local-linear-attention-that-keeps-softmax-and-adds-a-learned-covariance-correction-branch

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…...

MarkTechPost
marktechpost.com > 05/04/2026 > how-to-build-an-end-to-end-production-grade-machine-learning-pipeline-with-zenml-including-custom-materializers-metadata-tracking-and-hyperparameter-optimization

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…...

MarkTechPost
marktechpost.com > 04/01/2026 > hugging-face-releases-trl-v1-0-a-unified-post-training-stack-for-sft-reward-modeling-dpo-and-grpo-workflows

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…...

MarkTechPost
marktechpost.com > 03/31/2026 > liquid-ai-released-lfm2-5-350m-a-compact-350m-parameter-model-trained-on-28t-tokens-with-scaled-reinforcement-learning

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…...

MarkTechPost
marktechpost.com > 03/22/2026 > implementing-deep-q-learning-dqn-from-scratch-using-rlax-jax-haiku-and-optax-to-train-a-cartpole-reinforcement-learning-agent

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…...

MarkTechPost
marktechpost.com > 03/16/2026 > mistral-ai-releases-mistral-small-4-a-119b-parameter-moe-model-that-unifies-instruct-reasoning-and-multimodal-workloads

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…...

MarkTechPost
marktechpost.com > 03/03/2026 > meet-symtorch-a-pytorch-library-that-translates-deep-learning-models-into-human-readable-equations

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…...

MarkTechPost
marktechpost.com > 02/15/2026 > a-coding-implementation-to-design-a-stateful-tutor-agent-with-long-term-memory-semantic-recall-and-adaptive-practice-generation

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…...

MarkTechPost
marktechpost.com > 02/11/2026 > how-to-build-a-matryoshka-optimized-sentence-embedding-model-for-ultra-fast-retrieval-with-64-dimension-truncation

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…...

MarkTechPost
marktechpost.com > 01/15/2026 > google-ai-releases-translategemma-a-new-family-of-open-translation-models-built-on-gemma-3-with-support-for-55-languages

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…...