auditing job descriptions with textstat
use python's textstat library to automatically detect overly complex language in entry-level job postings.
topic
machine learning
run nlp in the browser with transformers.js
a tutorial on using transformers.js for text classification, zero-shot labeling, and question answering directly in the browser with no server needed.
beginner's guide to pytorch profiling
learn to read torch.profiler traces and tables to find bottlenecks in pytorch code, starting with a simple matrix multiply and add.
one mask to rule them all: hidden facts after editing
a compact binary mask reverses most knowledge edits in language models, revealing a shared mechanism behind diverse factual updates.
behavior-induced mirror-prox td for faster off-policy learning
a new mirror-prox temporal-difference method uses behavior-policy transition information instead of feature covariance to speed up off-policy prediction.
federated probe-logit distillation rate limits under heterogeneous bandwidth
new lower bounds show that the bandwidth term in federated probe-logit distillation is tight, and the method extends to nodes with different upload budgets.
ai agent plans molecular tweaks for drug lead optimization
a new llm-based agent called trace uses tool planning to optimize drug-like molecules over multiple steps, improving properties while keeping key structures intact.
behavior-aware corrections stabilize off-policy td learning
replacing the auxiliary covariance matrix with the behavior bellman matrix improves stability in off-policy temporal-difference learning.
frontier models score below 50% on enterprise it agent benchmark
itbench-aa evaluates ai agents on kubernetes incident response, with claude opus 4.7 leading at 47% accuracy.
google research at i/o 2026: ai for science, health, and more
google research highlights from i/o 2026 include new ai tools for scientific discovery, health coaching, and edge computing, plus advances in weather prediction and model factuality.
seven ai projects to automate real workflows in 2026
build practical ai assistants for job search, research, invoice processing, and more with step-by-step guides.
tuning local llm settings with ollama
learn to fine-tune local language model parameters, optimize hardware, and format prompts using ollama's modelfile, environment variables, and go templates.
triangular-reference bridges improve time series generation
a new method extends schrödinger bridge models for time series by using a frozen, triangular reference process across latent volatility levels, preserving the h-transform structure even with degenerate covariance.
how mixture-of-experts tackles multimodal learning challenges
a survey examines how mixture-of-experts methods address key multimodal learning issues like scalability, representation, and fusion.
aircast-sr: km-scale atmospheric super-resolution model
a foundation model downscales global ai weather forecasts from 28 km to 1 km resolution, producing hourly 67-hour forecasts of eight surface variables.
reachy mini runs fully local voice pipeline
a new local speech-to-speech stack lets reachy mini robots converse without cloud or api keys, using a customizable cascade of open-source models.
five scipy.stats tricks for what-if simulations
learn five scipy.stats techniques to build rigorous simulations for scenario analysis, uncertainty quantification, and tail risk modeling using only numpy and scipy.
how pytorch compile speeds up models with kernel fusion
pytorch's inductor compiler fuses multiple gpu operations into single kernels, reducing memory traffic and launch overhead for faster model execution.