building a custom ai assistant for workflow control
a practical account of building a personal ai assistant with langchain and gpt-4o, focusing on memory, tools, and integration over off-the-shelf options.
aitag data science
summaries filed under data science
replace pandas loops with 7 faster methods
learn seven faster alternatives to row-by-row loops in pandas for common data transformations.
aifive fun projects using openai codex
learn codex by building small, practical projects step by step, from a first app to a full-stack clone.
aidatasette 1.0a34 adds row editing tools
datasette 1.0a34 introduces insert, edit, and delete row actions directly in the table and row pages, inspired by datasette agent's sql write support.
aibayesian boolean matrix factorization for cancer genomics
a new bayesian method for boolean matrix factorization provides interpretable binary patterns with uncertainty estimates, applied to copy number analysis in cancer.
aitighter bounds for ai benchmark uncertainty
new concentration inequality for exchangeable sequences gives sharper error estimates when comparing ai model scores on benchmarks.
aillm engineer skills roadmap for 2026
a step-by-step guide covering foundations, prompting, retrieval, fine-tuning, and serving for building production llm applications.
aidaily brief: 2026-06-16
spacex briefly tops amazon in value after a $60b ai deal, android 17 adds ai tools, and consumers push back on ai in brand messaging.
aistructured nonparametric vi for dependent latents
a new variational inference method uses splines to capture complex latent dependencies, moving beyond mean-field assumptions.
aiaudited conformal prediction for classification under distribution shift
a new method uses a small target dataset to train an audit model that improves prediction set coverage for pretrained classifiers facing unknown distribution shifts.
airecursive diffusion training converges to a smoothed limit
even with perfect learning, early stopping in diffusion models causes geometric drift toward a unique limiting distribution that acts as a low-pass filter on the data.
ailocalized multidirectional correction for refusal suppression in moe models
a new method called lomc suppresses refusals in mixture-of-experts models using compact, support-gated edits that preserve general performance.
aioptimal transport recovers geometric shifts for domain adaptation
a study shows optimal transport with p-norm cost can recover rotation, translation, or scaling between source and target domains in 2d, enabling linear regression adaptation with scarce target data.
aidecision trees unified via bregman divergences
a new framework extends decision trees to any bregman divergence loss, generalizing classic cart and enabling flexible, interpretable models for diverse data types.
aiweekly brief: 2026-06-08-2026-06-14
spacex's record ipo, anthropic's model shutdown, and india's ai sovereignty debate lead a week of market shifts and regulatory moves.
aidaily brief: 2026-06-14
india debates ai self-reliance after anthropic blocks models, meta unwinds manus deal under pressure, and state attorneys general investigate openai.
aidaily brief: 2026-06-12
today's digest covers ai agent support, phishing lawsuits, evaluation tools, low-carbon computing, and more.
ai7 ways to fund your startup idea
seven funding options for startups, from bootstrapping to venture capital, with pros and cons for each.
airun claude code with local models
how to connect claude code to ollama, lm studio, or llama.cpp for zero-cost, rate-limit-free coding sessions using local models.
ai3 numpy tricks for faster numerical code
learn vectorization, in-place operations, and memory views to speed up numpy code and reduce memory use.
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