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A blog post by Justin Pinkney explaining how to toonify yourself, making a photo-realistic cartoon model using StyleGAN model blending. It describes transfer learning by fine-tuning a faces model on animated film characters, then swapping layers so low resolution layers give a cartoon face structure while high resolution layers keep photo-realistic rendering.
The caret package provides a set of functions in R intended to streamline creating predictive models. Its tools cover data splitting, pre-processing, feature selection, model tuning using resampling and variable importance estimation, and it offers a uniform interface and standardized common tasks.
Cartesia uses AI for speech, voice, transcription, music, or other audio workflows.
Cartography of generative AI is a project presenting a mapped account of generative AI in multiple languages. It discusses how tools automate writing and image generation through examples and statistical models trained on datasets, and examines the extraction of internet content for training datasets and related controversies.
Falcon-40B-Instruct is a 40B parameter causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize, released under the Apache 2.0 license. It is intended as a ready-to-use chat and instruct model, and the card notes it may not be ideal for further finetuning. The model is trained mostly on English data, and users are advised to take precautions for production use.
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.
MLOps Community is a global community for machine learning engineers focused on MLOps. It facilitates knowledge sharing, real-world problem solving, networking, and career advancement through in-person meetups and conferences, virtual tech talks, podcasts, workshops, and masterclasses. It reports membership of over 70,000 to 90,000 ML practitioners.
StreamingLLM is a technique from researchers at Meta AI, MIT and Carnegie Mellon University that extends a language model's context to millions of tokens without large compute or memory resources. The article describes it as addressing the fixed context length of models such as Llama-2, which has a context of approximately 4,000 tokens.
A Hackaday article by Matthew Carlson explaining why LLaMa matters. It describes LLaMa as a transformer language model from Facebook/Meta research spanning 7 billion to 65 billion parameters, and notes that llama.cpp runs inference with 4-bit quantization.
AGENTS.inc provides autonomous AI agents for enterprise marketing, sales and market intelligence, offered as Agents-as-a-Service. Two deployment models are offered: agents hosted and maintained by the company, or deployed into the customer's own infrastructure. The company states its agents are grounded in customer systems of record and that outputs carry source provenance.
An overview of the current attack techniques on LLMs by Marcello Carboni.
Bread Dataset Viewer is a VS Code extension for viewing and handling large datasets. It opens JSONL, Parquet, CSV, TSV, JSON, and Arrow/Feather files by streaming and lazy-loading data, and provides Cards, Table, and Raw views. It includes 16 production LLM tokenizers from GPT, Claude, Llama, and Qwen for chat completion data.
A general classifier module to allow Bayesian and other types of classifications.
ChefBoost is a lightweight decision tree framework for Python. It supports standard algorithms including ID3, C4.5, CART, CHAID and regression trees, as well as advanced techniques such as gradient boosting, random forest and Adaboost, with support for categorical features.
Codecademy's Data Scientist: Machine Learning Specialist Career Path is a beginner-level course covering Python 3, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow. The path is listed as taking 95 hours on average and includes 59 projects with no prerequisites, and is described as teaching analysis of data, drawing predictions with machine learning, and building neural networks.
A Neural Network Playground is a browser-based educational visualization created by Daniel Smilkov and Shan Carter for experimenting with a real neural network. Users adjust controls to explore how a network learns from data. The project is open sourced on GitHub under the Apache License so its features can be tailored to a topic or lesson.
Evaligo is a visual drag-and-drop AI workflow builder platform that includes built-in A/B testing capabilities. Users can construct workflows combining prompts, agents and tools, run them across multiple AI models, score outputs using blind AI judge panels, compare performance metrics including quality, cost and speed per output, train per-input model routers, and deploy any workflow as an API. A free plan with no credit card requirement is offered.
GaussianProcesses.jl is a Julia package for Gaussian Processes that allows fitting exact Gaussian process models when observations are Gaussian distributed about the latent function. The main GP function fits Gaussian and non-Gaussian data, and parameters can be estimated by maximizing the log-likelihood or sampled with Hamiltonian Monte Carlo.
GPTZero is an AI content detection tool that accepts pasted text and returns an overall AI score with sentence-by-sentence detection. Its Authorship feature offers writing replay in Google Docs, replaying edits, flagging copy and pastes and grading typing patterns. A team plan includes shared credits, unified billing and seat management at 500,000 words per member per month, with card payment only.
A portfolio page for Greg (Grzegorz) Surma that lists side projects related to machine learning, computer vision, self-driving cars and iOS development. It indexes apps and experiments, including AI avatars, image filters, depth estimators, a CNN explainer and games, with the tools and platforms used for each.
Hypernets is a general AutoML framework for building automatic optimization tools for machine learning frameworks and libraries, including tensorflow, keras, pytorch, sklearn, lightgbm and xgboost. It offers an abstract search space representation covering hyperparameter optimization and neural architecture search, with optimization algorithms such as evolution algorithm and Monte Carlo tree search.
A first-person essay by former writing and literature teacher Victoria Livingstone describing why she left teaching, citing students' reliance on large language models such as ChatGPT for drafting and revising written work. The piece discusses pedagogical attempts to address AI use and the difficulty of evaluating AI-revised text.
iColoring is a free, no-sign-up AI coloring page generator that creates watermark-free, high-quality printable coloring designs from text or photos. Its tools include photo-to-coloring page conversion with Classic, Cartoon and Pencil Sketch styles, text-to-coloring page generation, bulk and coloring book generation, and built-in coloring features. The platform also offers more than 825 free printable coloring pages and prompt ideas, and supports multiple languages.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
