An interactive open-access textbook on Machine Learning Systems engineering from Harvard University, integrating the TinyTorch framework with hands-on edge deployment labs, covering the full spectrum from ML fundamentals to system optimization.
A benchmark platform featuring 100 PhD-level research tasks across 22 distinct fields, systematically evaluating Deep Research Agents (DRAs) on report generation quality and information retrieval capabilities.
A video content discovery tool developed by Microsoft that uses deep learning technology to automatically identify and extract key content from videos, helping users efficiently browse and understand video information。
A trainable agent for role-playing that learns from actual experiences, characteristics, and emotions to simulate historical figures without requiring additional prompts or reference documents.
LLaVA-Plus is a multimodal assistant system that learns to use tools, combining large language models with visual capabilities to enable AI agents to perform general vision tasks.
A practical guide for building production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph, ideal for developers looking to move AI prototypes to production environments.
A daily updated platform for curating Large Language Model (LLM) papers, providing categorized summaries with brief overviews generated by GPT-4 to help researchers stay current with the latest research.
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