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A blog post describing a small library for building agents controlled by large language models, inspired by langchain. The agent is instructed by a prompt and runs in a loop of Thought, Action and Observation. Implemented tools include executing Python code in a REPL, Google search and Hacker News search.
A blog covering the AI movement and offering practical advice for builders. Posts include topics such as QA stacks for enterprise engineering teams, free tools for generating API test data, continuous security scanning, browser extensions for QA engineers, and quality assurance versus testing.
This is the official blog for Wren AI, which publishes practical guides covering GenBI, text-to-SQL, context layers, AI agents, embedded analytics, and secure self-hosted deployment for data teams. Posts include topics such as the role of context in AI agent performance and migrating open-source Wren projects to the cloud.
R-bloggers is a platform that aggregates and publishes R-related news and tutorials contributed by hundreds of R bloggers. Its content includes conference recaps, Shiny app development tips, new CRAN package roundups, community spotlights, and R job listings, and it allows bloggers to submit their R-related content for publication.
Blog Writer Multi Agent System is a Hugging Face Space created by yashmangal112, designed as a multi-agent system for automated content creation. Users input a topic, and the system generates a detailed blog post. The Space is currently sleeping due to inactivity.
Data Mania Blog, also known as the Convergence Blog, is a resource hub published by Data-Mania, LLC for technology startup leaders. It features content covering topics such as AI search visibility, AI marketing tools, and startup growth strategies.
Prash Chan is associated with the MDM – A GEEK'S POINT OF VIEW blog hosted at mdmgeek.com. The blog is run by data management expert Prash Chandramohan and covers topics including master data management, data quality, data governance, cloud, marketing, and leadership. It also offers free email subscriptions for new blog posts.
A personal blog by Chris Said, a data scientist at Propel. The blog is mostly about statistics, technology, and science, and the site links to blog posts on topics such as A/B testing and statistics.
Alien Dreams: An Emerging Art Scene - ML@B Blog provides machine-learning models, research, training resources, or evaluation tools.
A YouTube Blog post announcing an early look at the company's first AI-related music experiments: Dream Track for Shorts and Music AI tools, built in collaboration with Google DeepMind. Dream Track is powered by the Lyria music generation model and initially lets a small group of select US creators create soundtracks of up to 30 seconds for Shorts.
A personal blog about AI system design and bringing AI into production. Posts cover topics including generative AI applications, agents, multimodal models, LLM research challenges, model routing, generation configurations, and machine learning systems.
Colah's Blog hosts essays and notes on neural networks and interpretability, including sections on Transformer Circuits, Multimodal Neurons, and general neural network topics such as manifolds, topology, and representations. It also includes rough notes and personal writing.
The Data Science Lab is a blog of experiments with data. Posts cover topics including k-means clustering, k-means++ seeding, the gap statistic, and an alternative approach to selecting the optimal number of clusters based on a 2004 publication by Pham, Dimov and Nguyen. A 2014 annual report notes the blog was viewed about 74,000 times that year.
llama.cpp guide is a blog post on SteelPh0enix's blog that explains how to run large language models (LLMs) locally on any hardware using llama.cpp. Published on 2024-10-28 and updated on 2024-12-25, the guide covers building llama.cpp, obtaining and quantizing models, running the server, configuring settings, and hardware requirements.
Matt Harrison is a personal blog authored by Matt Harrison. The blog covers topics including Amazon book piracy, the Effective Pandas book, Python and data science courses, and general software development content.
Meaning of is the personal blog of Kenny Bastani, covering open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning. As of September 18, 2025, the blog is no longer maintained, with readers directed to the author's GitHub or LinkedIn profiles.
Prompt Engineering: From Words to Art - Saxifrage Blog creates or edits images with generative AI and text-based controls.
A GitHub Blog post by Nicole Choi, based on discussions with Alireza Goudarzi and Albert Ziegler, about the emerging architecture of LLM applications. It covers five steps to building an LLM app, including focusing on a single problem and choosing the right LLM, and notes that LLM outputs are probabilistic and not predictable.
AceTagGen is a free prompt system for SUNO AI. It offers a structured 12-step Tag Builder, a library of verified tags, a prompt scorer, and a research blog with articles and guides. No signup is required.
A blog post by Matt Webb arguing that Adobe should make a boring app for prompt engineers. It discusses AI image synthesis tools like DALL-E 2, Imagen, and Midjourney, noting that prompt engineering is a new kind of expertise. The post describes Midjourney's Discord-only interface during its beta.
A personal blog by Alex Smola titled Adventures in Data Land, covering machine learning topics. Entries include efficient LLM inference tutorials, random projections, effective sample size, voice agents and evaluation, and porting MXNet to Blackwell and Apple Silicon. Posts reference events such as the Machine Learning Summer School 2026 in NYC.
This is a Scaler blog category page collecting articles on artificial intelligence and machine learning. Posts listed include MLOps projects, becoming an AI research scientist, model drift detection and monitoring, and retrieval-augmented generation evaluation metrics. The page also links to categories such as software development and data science, and offers career counselling.
Applied ML is a curated collection of papers, articles and blogs about data science and machine learning in production, organized under topics such as data quality, recommendation, search and ranking, and MLOps. It is licensed under MIT and covers how organizations frame problems and which techniques worked.
A Hugging Face blog post by Daniel Huynh describing an experiment assessing SelfCheckGPT NLI as a measure of LLM inconsistencies for predicting hallucinated outputs. It reports that scores were highly precise after a threshold and that a score of 0.8 corresponded to close to 80% of hallucinations being identified.
