This repository provides a Python script to fetch and summarize research papers from arXiv using the free Gemini API. It includes features for summarizing a single paper or multiple papers, easy setup, and automatic daily extraction and summarization based on specific keywords. The tool is designed to help researchers, students, and enthusiasts quickly extract key insights from arXiv papers without manually reading through lengthy documents.
SmolVLM2 represents a shift in video understanding technology by introducing efficient models that can run on various devices, from phones to servers. The release includes models of three sizes (2.2B, 500M, and 256M) with Python and Swift API support. These models offer video understanding capabilities with reduced memory consumption, supported by a suite of demo applications for practical use.
This tutorial demonstrates how to fine-tune the Llama-2 7B Chat model for Python code generation using QLoRA, gradient checkpointing, and SFTTrainer with the Alpaca-14k dataset.
OpenInference is a set of conventions and plugins that complements OpenTelemetry to enable tracing of AI applications, with native support from arize-phoenix and compatibility with other OpenTelemetry-compatible backends.
Simon Willison introduces llm-smollm2, a plugin for LLM that includes a quantized version of the SmolLM2-135M-Instruct model. The article details how to install and use the model, discusses the process of finding, building, packaging, and publishing the plugin, and evaluates the model's capabilities.
The article by Krishan Walia provides a beginner-friendly guide on fine-tuning the DeepSeek R1 model using Python. It highlights how developers can transform a general-purpose AI model into a specialized, domain-specific language model for various applications.
This folder contains some example client scripts using our Python SDK for connecting with Llama Stack Distros. Instructions are provided for setting up dependencies and running demo scripts and apps.
An article detailing the capabilities and application of PydanticAI in building production-grade AI applications, particularly focusing on multi-agent systems.
Guidelines for using large language models to improve Python code quality in casual usage.
MarkItDown is a utility for converting various files to Markdown, including PDF, PowerPoint, Word, Excel, Images, Audio, HTML, text-based formats, and ZIP files.
