Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A new era of machine intelligence is emerging where artificial agents learn not from human data or solitary practice, but by interacting with each other inside learned world models. Researchers argue that multi-agent env…
Nick, a developer, ran a three-month head-to-head test comparing a fine-tuned OpenAI model against a Retrieval-Augmented Generation (RAG) stack built on the same dataset for document QA. The RAG approach delivered a 3.2×…
Nick Creighton, a developer and host of the *Build Log* podcast, has published a practical comparison of full-model fine-tuning, LoRA, and QLoRA for adapting large language models in 2024. The guide details how LoRA and …
Nick, a developer, reduced his production AI inference costs to under $50 per month by moving from cloud APIs to a local setup. After experiencing API fees exceeding $300 monthly for 13 sites, he deployed a Raspberry Pi …
The Allen Institute for AI released olmo-eval, an open-source evaluation workbench designed to support the iterative process of developing large language models. The tool builds on the institute's earlier OLMES standard …
A new framework called PixelRAG, developed by researchers from UC Berkeley, Princeton, EPFL, and Databricks, bypasses text parsing by rendering web pages as screenshot tiles for retrieval-augmented generation. The system…
Amazon Web Services has introduced an intelligent document processing pipeline using Amazon Bedrock Data Automation that extracts and analyzes content from complex documents including PDFs, images, and videos. The system…
A developer found that `nvidia-smi` reported 97% GPU utilization on an H100 cluster while actual training throughput was less than half of expected benchmarks. Tracing via eBPF revealed the GPU was idle 51.7% of the time…
A new study published in *PNAS* found that large language models can be tricked into bypassing their safety guardrails using classic human psychological persuasion techniques, such as appeals to authority, scarcity, and …
Sixfold raised $30 million in Series B funding led by Brewer Lane, with strategic investment from Guidewire and participation from Bessemer Venture Partners and Salesforce Ventures. The company will use the capital to ac…
Eighty engineers, researchers, and community builders gathered for the inaugural PyTorch Meetup Singapore, hosted at the Red Hat Asia Pacific office. The event featured technical talks on inference, distributed training,…
TONE3000 released Neural Amp Modeler Architecture 2 (A2) on June 2, an open-source update developed with creator Steve Atkinson that the company claims outperforms competing modelling systems in blind listening tests whi…
ROBOTIS demonstrated its open-source AI Sapiens humanoid robot learning a complex K-pop dance routine, the CORTIS REDRED Challenge, using only smartphone video instead of professional motion-capture equipment. The pipeli…
A 2022 study found that a toy transformer trained only on board game move notations internally built world models of the board and its state, leading researchers to conclude that large language models trained on human-ge…
A data scientist shared a detailed job search framework covering mindset, preparation, and application strategies for DS/ML roles. The guide emphasizes treating job hunting as a long-term sales process, applying to 60+ p…
Data professionals seeking to help animals face a paradox: demand for data science exists in the animal protection movement, but most organizations cannot afford dedicated data roles. Fewer than 15 data scientists work i…
NumPy's vectorization and broadcasting techniques can accelerate numerical operations by up to 56x compared to explicit Python loops, as demonstrated by a column standardization task on a 50,000-row, 1,000-column matrix.…
Researchers have developed MaxProof, a population-level test-time scaling framework for mathematical proof that enables the MiniMax-M3 model to achieve 35 out of 42 on IMO 2025 and 36 out of 42 on USAMO 2026, surpassing …
Researchers at Fourthline, a KYC identity verification company, observed that AI models trained with supervised versus contrastive loss functions produce different prediction scores when the input video codec is changed.…
MLJAR AutoML and Mercury now enable developers to build web applications for machine learning models using only Python, eliminating the need for HTML, CSS, or JavaScript. The new tool generates two types of web apps — on…