Meta AI Just Released Llama 4 Scout and Llama 4 Maverick: The First Set of Llama 4 Models Today, Meta AI announced the release of its latest generation multimodal models, Llama 4, featuring two variants: Llama 4 Scout and Llama 4 Maverick. These models represent significant technical advancements in multimodal AI, offering improved capabilities for… →

Scalable Reinforcement Learning with Verifiable Rewards: Generative Reward Modeling for Unstructured, Multi-Domain Tasks Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing LLMs&; reasoning and coding abilities, particularly in domains where structured reference answers allow clear-cut verification. This approach relies on reference-based signals to determine if a model& response aligns with a known… →

NVIDIA AI Released AgentIQ: An Open-Source Library for Efficiently Connecting and Optimizing Teams of AI Agents Enterprises increasingly adopt agentic frameworks to build intelligent systems capable of performing complex tasks by chaining tools, models, and memory components. However, as organizations build these systems across multiple frameworks, challenges arise regarding interoperability, observability, performance profiling, and workflow… →

Meet GenSpark Super Agent: The All-in-One AI Agent that Autonomously Think, Plan, Act, and Use Tools to Handle All Your Everyday Tasks GenSpark Super Agent (often just called GenSpark ) is a new general-purpose AI agent designed to autonomously handle complex tasks across domains. Unlike a simple chatbot or script, GenSpark can “think, plan, act,… →

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 In this hands-on tutorial, we bring the core principles of the Model Context Protocol (MCP) to life by implementing a lightweight, context-aware AI assistant using LangChain, LangGraph, and… →

CONCLUSION: As demonstrated in other parts of the world, sqR together with CHOP was safe, well-tolerated, and efficacious among Ugandan patients with DLBCL. The very high OS rates are nearly double those of historical controls and comparable with outcomes expected in resource-rich settings. This study demonstrated the feasibility, safety, and efficacy of sqR-CHOP, increased the… →

BACKGROUND: Low physical activity level is a common risk factor for recurrent stroke. Feasibility studies show behavior change interventions can increase physical activity participation, but face barriers (e.g., home visits or internet access). Low-cost telehealth approaches, like telephone calls, may overcome these challenges. Another low-cost strategy involves motivational tools supporting «Behavioral Regulation,» such as physical… →

Building Your AI Q&A Bot for Webpages Using Open Source AI Models In today& information-rich digital landscape, navigating extensive web content can be overwhelming. Whether you& researching for a project, studying complex material, or trying to extract specific information from lengthy articles, the process can be time-consuming and inefficient. This is where an AI-powered Question-Answering… →

Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. The… →

Salesforce Einstein Analytics leverages predictive analytics to enhance sales forecasting and customer segmentation This leads to higher conversion rates and improved customer targeting which boosts revenue Automation of data analysis tasks reduces manual reporting efforts by 40% cutting labor costs Equivalent products from the list include SAP Leonardo or SAS Viya →
