marktechpost3d
Creating an AI-Powered Tutor Using Vector Database and Groq for Retrieval-Augmented Generation (RAG): Step by Step Guide
Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, ...
marktechpost4d
Meet RAGEN Framework: The First Open-Source Reproduction of DeepSeek-R1 for Training Agentic Models via Reinforcement Learning
Developing AI agents capable of independent decision-making, especially for multi-step tasks, is a significant challenge. DeepSeekAI, a leader in advancing large language models and reinforcement ...
marktechpost5d
Agentic AI: The Foundations Based on Perception Layer, Knowledge Representation and Memory Systems
Agentic AI stands at the intersection of autonomy, intelligence, and adaptability, offering solutions that can sense, reason, and act in real or virtual environments with minimal human oversight. At ...
marktechpost5d
Meta AI Proposes EvalPlanner: A Preference Optimization Algorithm for Thinking-LLM-as-a-Judge
The rapid advancement of Large Language Models (LLMs) has significantly improved their ability to generate long-form responses. However, evaluating these responses efficiently and fairly remains a ...
marktechpost5d
Baidu Research Introduces EICopilot: An Intelligent Agent-based Chatbot to Retrieve and Interpret Enterprise Information from Massive Graph Databases
Knowledge graphs have been used tremendously in the field of enterprise lately, with their applications realized in multiple data forms from legal persons to registered capital and shareholder’s ...
marktechpost6d
Creating An AI Agent-Based System with LangGraph: A Beginner’s Guide
For example, when a user asks a question, the LLM analyzes the input and decides whether it can answer directly or if additional steps (like a web search) are needed.
marktechpost4d
Intel Labs Explores Low-Rank Adapters and Neural Architecture Search for LLM Compression
Large language models (LLMs) have become indispensable for various natural language processing applications, including machine translation, text summarization, and conversational AI. However, their ...
marktechpost6d
Optimization Using FP4 Quantization For Ultra-Low Precision Language Model Training
Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model size. However, training these massive models presents ...
marktechpost8d
DeepSeek-AI Releases Janus-Pro 7B: An Open-Source multimodal AI that Beats DALL-E 3 and Stable Diffusion
Multimodal AI integrates diverse data formats, such as text and images, to create systems capable of accurately understanding and generating content. By bridging textual and visual data, these models ...
marktechpost5d
Yandex Develops and Open-Sources Perforator: An Open-Source Tool that can Save Businesses Billions of Dollars a Year on Server Infrastructure
Yandex, a global tech company, develops and open-sources Perforator, an innovative tool for continuous real-time monitoring and analysis of servers and applications. Perforator helps developers ...
marktechpost7d
A Comprehensive Guide to Concepts in Fine-Tuning of Large Language Models (LLMs)
With the current conversation about widespread LLMs in AI, it is crucial to understand some of the basics involved. Despite their general-purpose pretraining in developing LLMs, most require ...
marktechpost7d
Qwen AI Releases Qwen2.5-VL: A Powerful Vision-Language Model for Seamless Computer Interaction
In the evolving landscape of artificial intelligence, integrating vision and language capabilities remains a complex challenge. Traditional models often struggle with tasks requiring a nuanced ...