Exploring different ways to take notes in Emacs, including Org mode, Deft, Denote, Org-roam, and Howm.
Learn about the importance of evaluating classification models and how to use the confusion matrix and ROC curves to assess model performance. This post covers the basics of both methods, their components, calculations, and how to visualize the results using Python.
This GitHub repository contains a course on Large Language Models (LLMs) with roadmaps and Colab notebooks. The course is divided into three parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. Each part covers various topics, including mathematics, Python, neural networks, instruction datasets, pre-training, supervised fine-tuning, reinforcement learning from human feedback, evaluation, quantization, new trends, running LLMs, building a vector storage, retrieval augmented generation, advanced RAG, inference optimization, and deployment.
This study explores the role of the Wnt pathway in regulating dendritic spine morphology and synaptic function. The authors found that activation of the Wnt pathway leads to the formation of new spines and enhances synaptic strength. Their findings suggest a novel mechanism by which the Wnt pathway influences synaptic plasticity and cognitive function.
This blog post compares Ansible and Terraform, two popular tools in the DevOps world, and discusses how they can be used together for a more efficient and comprehensive approach to infrastructure management. It also includes a video walk-through and requirements for a demo example where Terraform and Ansible are combined to create an AWS EC2 instance and deploy a Docker engine on it with Ansible, followed by launching a Jenkins container.
This article explores how to boost the performance of small language models by using supervision from larger ones through knowledge distillation. The article provides a step-by-step guide on how to distill knowledge from a teacher model (LLama 2–70B) to a student model (Tiny-LLama) using unlabeled in-domain data and targeted prompting.
This article explores the rise of foundation models in time series forecasting. The authors discuss the increasing success of these approaches in areas such as natural language processing and their potential impact on the field of predictive analytics.
gitsum is a Git interface for Emacs that allows for interactive partial commits. Users can kill unused hunks or files, navigate between hunks and files, and split patches. Once ready, users can commit the patch with a message. Users must have git.el from the git repository for adding files in the commit.
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