ArboStar
ARBOSTAR: All Business Processes under One Roof. The most advanced Business Management Platform in the tree care and landscaping industry. Revolutionizing tree service business management software, ArboStar is a cloud-based business management platform that can be used by tree care and landscaping companies of all sizes. We have integrated all modules necessary to run your business efficiently and effectively in one easy-to-use software: Client Relations Management (CRM), Field & Equipment Management, Business Analytics, Accounting and Finance, Payment Processing, IP Telephony & SMS Integration, Human Capital Management, Quality Assurance, and Enterprise Planning System (ERP). Map View: The interactive maps provide a real-time view of your leads, crews, and equipment locations. To make scheduling and marketing easier, the map will show you where your leads and clients are located.
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Gearset
Gearset is the complete, enterprise-ready Salesforce DevOps platform, enabling teams to implement best practices across the entire DevOps lifecycle. With powerful solutions for metadata and CPQ deployments, CI/CD, testing, code scanning, sandbox seeding, backups, archiving, observability, and Org Intelligence — including the Gearset Agent — Gearset gives teams complete visibility, control, and confidence in every release.
More than 3,000 enterprises, including McKesson, IBM and Zurich, trust Gearset to deliver securely at scale. Combining advanced governance, built‑in audit trails, SOX/ISO/HIPAA support, parallel pipelines, integrated security scans, and compliance with ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset provides enterprise‑grade controls, rapid onboarding, and a user‑friendly interface — all in one platform.
Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations in finance, healthcare, and technology choose us,
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StarCoder
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder.
We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.
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