A Code Implementation to Building a Context-Aware AI Assistant in Google Colab Using LangChain, LangGraph, Gemini Pro, and Model Context Protocol (MCP) Principles with Tool Integration Support
Source: MarkTechPost In this hands-on tutorial, we bring the core principles of the Model Context Protocol (MCP) to...
This AI Paper Introduces a Short KL+MSE Fine-Tuning Strategy: A Low-Cost Alternative to End-to-End Sparse Autoencoder Training for Interpretability
Source: MarkTechPost Sparse autoencoders are central tools in analyzing how large language models function internally. Translating complex internal...
NVIDIA AI Releases HOVER: A Breakthrough AI for Versatile Humanoid Control in Robotics
Source: MarkTechPost The future of robotics has advanced significantly. For many years, there have been expectations of human-like...
Meet Open-Qwen2VL: A Fully Open and Compute-Efficient Multimodal Large Language Model
Source: MarkTechPost Multimodal Large Language Models (MLLMs) have advanced the integration of visual and textual modalities, enabling progress...
Researchers from Dataocean AI and Tsinghua University Introduces Dolphin: A Multilingual Automatic Speech Recognition ASR Model Optimized for Eastern Languages and Dialects
Source: MarkTechPost Automatic speech recognition (ASR) technologies have advanced significantly, yet notable disparities remain in their ability to...
This AI Paper Introduces FASTCURL: A Curriculum Reinforcement Learning Framework with Context Extension for Efficient Training of R1-like Reasoning Models
Source: MarkTechPost Large language models have transformed how machines comprehend and generate text, especially in complex problem-solving areas...
Introduction to MCP: The Ultimate Guide to Model Context Protocol for AI Assistants
Source: MarkTechPost The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified...
UB-Mesh: A Cost-Efficient, Scalable Network Architecture for Large-Scale LLM Training
Source: MarkTechPost As LLMs scale, their computational and bandwidth demands increase significantly, posing challenges for AI training infrastructure....
Snowflake Proposes ExCoT: A Novel AI Framework that Iteratively Optimizes Open-Source LLMs by Combining CoT Reasoning with off-Policy and on-Policy DPO, Relying Solely on Execution Accuracy as Feedback
Source: MarkTechPost Text-to-SQL translation, the task of transforming natural language queries into structured SQL statements, is essential for...
Vana is letting users own a piece of the AI models trained on their data
Source: MIT News – Artificial intelligence In February 2024, Reddit struck a $60 million deal with Google to...