Scalable
Implementing DeepSpeed for Scalable Transformers: Advanced Training with Gradient Checkpointing and Parallelism
In this advanced DeepSpeed tutorial, we provide a hands-on walkthrough of cutting-edge optimization techniques for training large language models efficiently. By combining ZeRO optimization, mixed-precision training, gradient accumulation, and advanced DeepSpeed configurations, the tutorial demonstrates how to maximize GPU memory utilization, reduce training overhead, and enable scaling of transformer models in resource-constrained environments, such as…
Zhipu AI Releases GLM-4.5V: Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Zhipu AI has officially released and open-sourced GLM-4.5V, a next-generation vision-language model (VLM) that significantly advances the state of open multimodal AI. Based on Zhipu’s 106-billion parameter GLM-4.5-Air architecture—with 12 billion active parameters via a Mixture-of-Experts (MoE) design—GLM-4.5V delivers strong real-world performance and unmatched versatility across visual and textual content. Key Features…
A Coding Guide Implementing ScrapeGraph and Gemini AI for an Automated, Scalable, Insight-Driven Competitive Intelligence and Market Analysis Workflow
In this tutorial, we demonstrate how to leverage ScrapeGraph’s powerful scraping tools in combination with Gemini AI to automate the collection, parsing, and analysis of competitor information. By using ScrapeGraph’s SmartScraperTool and MarkdownifyTool, users can extract detailed insights from product offerings, pricing strategies, technology stacks, and market presence directly from competitor websites. The tutorial then…
How to Build Scalable Web Apps with React JS — SitePoint
Scalability isn’t just a buzzword – it’s crucial for any application’s survival. It’s your application’s ability to handle more users, data, or features without performance degradation. A scalable app adapts, allowing you to focus on new features, not fixing performance issues. The Three Pillars of Scalable Web Applications Building a scalable web application rests on…
LightOn AI Released GTE-ModernColBERT-v1: A Scalable Token-Level Semantic Search Model for Long-Document Retrieval and Benchmark-Leading Performance
Semantic retrieval focuses on understanding the meaning behind text rather than matching keywords, allowing systems to provide results that align with user intent. This ability is essential across domains that depend on large-scale information retrieval, such as scientific research, legal analysis, and digital assistants. Traditional keyword-based methods fail to capture the nuance of human language,…
DeepSeek-GRM: Revolutionizing Scalable, Cost-Efficient AI for Businesses
Many businesses struggle to adopt Artificial Intelligence (AI) due to high costs and technical complexity, making advanced models inaccessible to smaller organizations. DeepSeek-GRM addresses this challenge to improve AI efficiency and accessibility, helping bridge this gap by refining how AI models process and generate responses. The model employs Generative Reward Modeling (GRM) to guide AI…
Mem0: A Scalable Memory Architecture Enabling Persistent, Structured Recall for Long-Term AI Conversations Across Sessions
Large language models can generate fluent responses, emulate tone, and even follow complex instructions; however, they struggle to retain information across multiple sessions. This limitation becomes more pressing as LLMs are integrated into applications that require long-term engagement, such as personal assistance, health management, and tutoring. In real-life conversations, people recall preferences, infer behaviors, and…
DeepSeek unveils new technique for smarter, scalable AI reward models
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More DeepSeek AI, a Chinese research lab gaining recognition for its powerful open-source language models such as DeepSeek-R1, has introduced a significant advancement in reward modeling for large language models (LLMs). Their new technique, Self-Principled Critique Tuning…
Salesforce AI Released APIGen-MT and xLAM-2-fc-r Model Series: Advancing Multi-Turn Agent Training with Verified Data Pipelines and Scalable LLM Architectures
AI agents quickly become core components in handling complex human interactions, particularly in business environments where conversations span multiple turns and involve task execution, information extraction, and adherence to specific procedural rules. Unlike traditional chatbots that handle single-turn questions, these agents must hold context over several dialogue exchanges while integrating external data and tool usage….
ZEISS Demonstrates the Power of Scalable Workflows with Ampere Altra and SpinKube — SitePoint
Snapshot Challenge The cost of maintaining a system capable of processing tens of thousands of near-simultaneous requests, but which spends greater than 90 percent of its time in an idle state, cannot be justified. Containerization promised the ability to scale workloads on demand, which includes scaling down when demand is low. Maintaining many pods among…
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