Compare Llama 2 vs. LongLLaMA

Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands. At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world. You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work. LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.

Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.

Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap. Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery. The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required. The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.

Pipedrive is a powerful CRM and sales pipeline management platform designed to help businesses track and optimize their sales processes. The platform offers automation tools, AI-powered sales insights, and real-time reporting to help businesses close deals faster and more effectively. With customizable workflows, integrations with a wide range of apps, and an intuitive interface, Pipedrive supports sales teams of all sizes in managing leads, automating repetitive tasks, and monitoring performance for smarter, data-driven decisions.

Google AI Studio is an all-in-one environment designed for building AI-first applications with Google’s latest models. It supports Gemini, Imagen, Veo, and Gemma, allowing developers to experiment across multiple modalities in one place. The platform emphasizes vibe coding, enabling users to describe what they want and let AI handle the technical heavy lifting. Developers can generate complete, production-ready apps using natural language instructions. One-click deployment makes it easy to move from prototype to live application. Google AI Studio includes a centralized dashboard for API keys, billing, and usage tracking. Detailed logs and rate-limit insights help teams operate efficiently. SDK support for Python, Node.js, and REST APIs ensures flexibility. Quickstart guides reduce onboarding time to minutes. Overall, Google AI Studio blends experimentation, vibe coding, and scalable production into a single workflow.

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

RealEstateAPI (REAPI) provides big data as a platform. We provide our customers with fast, flexible APIs that give them access to property information. Our 'Smart API System' delivers data and a data structure that makes development faster. Our APIs are used by a wide range of companies, from startups to publicly-traded companies, to create SaaS applications, train AI models and generate insights quickly. Our APIs are used by customers in the proptech, home services and fintech industries to access financial and physical details of 159M properties across the country. Our solutions allow companies to scale operations quickly while reducing risks and costs associated with data manipulation the old-school way.

Anaconda is an AI-native development platform that gives teams a governed path from early experimentation to production AI deployment. The platform is built around trusted open-source packages, secure Python package management, controlled environments, and production-grade orchestration. Anaconda helps organizations avoid broken environments, dependency conflicts, security gaps, and deployment delays that can slow AI initiatives. Anaconda Core provides validated packages, automated security scanning, and intelligent dependency conflict resolution for Python and data science teams. Its platform capabilities support AI orchestration, trusted distribution, and enterprise workflows for building and scaling models. Anaconda is widely used across the AI, data science, Python, and enterprise developer communities. The company positions open source as a foundation for AI innovation and emphasizes Python as a core language for the next era of AI development. Anaconda also provides learning courses, certifications, reports, guides, professional services, documentation, and support resources. By combining package governance, environment management, open-source security, and AI development workflows, Anaconda helps teams build trusted AI systems on their own terms.

You need more than just a way to exchange documents. You need capabilities such as AI-enhanced redaction. You need an integrated Q&A tool with advanced workflow features. You need a defensible source of truth. You need Datasite Diligence. Datasite provides the most trusted VDR in M&A. Over 14,000 projects are created annually on Datasite. Designed with industry-leading functionality and game-changing productivity tools, due diligence doesn’t get in the way with Datasite Diligence.

Qloo is an AI-powered cultural intelligence and consumer preference analytics platform designed to help organizations understand and predict what audiences are likely to enjoy. The software combines a proprietary cultural knowledge graph containing more than 600 million structured entities with over 30 trillion cross-domain relationships and behavioral signals. Its Taste AI technology uses machine learning to identify relationships between interests in music, movies, television, restaurants, fashion, brands, travel, and other lifestyle categories. Audience intelligence capabilities help businesses analyze consumer affinities, discover emerging trends, evaluate market opportunities, and identify potential brand partnerships. Its recommendation engine generates personalized suggestions across different categories based on a user's existing interests or contextual information. Geographic intelligence tools analyze cultural preferences at different locations, ranging from individual neighborhoods to entire countries, to support localized recommendations and market planning. Qloo provides cultural data enrichment that adds descriptive attributes, contextual information, and related interests to existing business records. Its AI grounding capabilities allow large language models and autonomous agents to incorporate structured real-world knowledge and taste-based recommendations into their responses and workflows. The platform provides API access, self-service insights, managed data feeds, and integrations with enterprise data systems while operating without a consumer identity graph or requiring personally identifiable information.