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            <h1>NVIDIA ❤️ Deepchecks</h1>						<div class="post-meta d-md-inline-flex justify-content-between">
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					March 20, 2025											<span>|</span>
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					<div class="highlight"></div><div class="post-sticky-contents"><div class="post-sticky-content mb-4 mb-lg-5"><div><p><img fetchpriority="high" decoding="async" class=" wp-image-11635 aligncenter" src="/wp-content/uploads/2025/03/nvidia-deepchecks-announcement-v1-1-300x169.png" alt="" width="409" height="230" srcset="/wp-content/uploads/2025/03/nvidia-deepchecks-announcement-v1-1-300x169.png 300w, /wp-content/uploads/2025/03/nvidia-deepchecks-announcement-v1-1-1024x576.png 1024w, /wp-content/uploads/2025/03/nvidia-deepchecks-announcement-v1-1-768x432.png 768w, /wp-content/uploads/2025/03/nvidia-deepchecks-announcement-v1-1-1536x865.png 1536w, /wp-content/uploads/2025/03/nvidia-deepchecks-announcement-v1-1-2048x1153.png 2048w" sizes="(max-width: 409px) 100vw, 409px" /></p>
<p>We’re excited to share that Deepchecks LLM Evaluation is now available to members of NVIDIA’s global programs, <a href="https://www.nvidia.com/en-us/startups/?ncid=ref-inc-775584-vt33&amp;sfdcid=DeepChecks" target="_blank" rel="noopener">NVIDIA Inception</a> for startups and <a href="https://www.nvidia.com/en-us/programs/isv/?ncid=ref-cnct-515429&amp;sfdcid=Deepchecks" target="_blank" rel="noopener">NVIDIA Connect</a>  for ISVs. Aimed to help accelerate AI development and deployment with best-in-breed LLMOps stacks for evaluating LLM-based apps, Deepchecks helps address concerns related to quality, risk, and explainability.</p>
<p>Through this collaboration, we’re offering special program benefits to the members of the Inception and Connect programs.</p>
<ul>
<li>Offerings for <strong>NVIDIA Inception:</strong> Members can receive <strong>$5,000 in credits</strong> to use with Deepchecks’ LLM Evaluation platform. This enables early-stage startups and innovators to seamlessly integrate best-in-breed LLMOps capabilities for analyzing model quality, risks, and explainability.</li>
<li>Offerings for <strong>NVIDIA Connect</strong>: Members of this program can also receive <strong>$5,000 in credits</strong> specifically for Deepchecks’ LLM Evaluation (Scale &amp; Dedicated Tier). This offering is tailored to organizations that require more advanced, production-grade evaluation workflows-perfect for enterprise or rapidly scaling AI initiatives.</li>
</ul>
</div></div><div class="post-sticky-content mb-4 mb-lg-5"><h2 id="post-item-2" >Why Deepchecks LLM Evaluation?</h2><div><p><strong>Deepchecks</strong> is a dedicated MLOps solution engineered to evaluate large language model (LLM) outputs with precision and transparency. We focus on the critical aspects of LLM-based applications:</p>
<ul>
<li><strong>Quality</strong>: Quantifying performance metrics such as relevance, grounded-in-context, toxicity, correctness, etc.</li>
<li><strong>Risk</strong>: Identifying potential pitfalls and compliance issues.</li>
<li><strong>Explainability</strong>: Giving teams deep insights into why a model or prompt performed a certain way.</li>
</ul>
<p>Unlike generic solutions that rely heavily on GPT-as-a-judge, our platform stands out by providing a <strong>customizable automatic scoring</strong> system. This ensures that your organization’s unique requirements-be they compliance-related or domain-specific-are always front and center.</p>
<div class="post-newsletter-subscribe"><div class="sub-title">Deepchecks For LLM EVALUATION</div><h2 class="h2-title mb-3">NVIDIA ❤️ Deepchecks</h2><div class="mb-2"><ul class="ul-check-list is-light grid-columns-3"><li>Version Comparison</li><li>AI-Assisted Annotations</li><li>CI/CD for LLMs</li><li>LLM Monitoring</li></ul></div><div class="post-btns">
    <a href="/llm-evaluation/" class="btn btn-secondary">TRY LLM EVALUATION</a>
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</div></div><div class="post-sticky-content mb-4 mb-lg-5"><h2 id="post-item-3" >Core Features</h2><div><ol>
<li><strong>Version Comparison</strong>Whether you’re experimenting with prompts, fine-tuning a model, or tweaking retrieval-augmented generation (RAG), Deepchecks helps you compare different versions of your LLM-based app. Quickly surface where performance diverges and why-so you can iterate faster and with more confidence.</li>
<li><strong>AI-Assisted Annotations</strong>Use automated “good”/“bad” scoring to speed up the labeling process, and then refine each annotation with human feedback. This hybrid approach lets you scale your evaluations while maintaining the rigorous oversight your use case demands.</li>
<li><strong>Data Slicing &amp; Dicing</strong>Deepchecks treats LLM outputs as analyzable data-making it easy to slice, dice, and sort interactions by topics, label types, and other properties. Zero in on outliers or problematic responses with clarity, ensuring no hidden issues go unnoticed.</li>
<li><strong>LLM Property Customization</strong>Our platform includes a growing library of proprietary language models for measuring specific properties like grounded-in-context, relevance, and coverage. You can extend or tailor these to your own needs-simply add a new property definition (via LLM prompts or custom code) to evaluate it at scale.</li>
<li><strong>Customizable Auto-Scoring</strong>Deepchecks’ auto-scoring mechanism simulates an intelligent human annotator, and it’s fully transparent. This means you can fine-tune how model predictions are judged, incorporating your own business rules or compliance constraints to achieve a more accurate evaluation.</li>
</ol>
</div></div><div class="post-sticky-content mb-4 mb-lg-5"><h2 id="post-item-4" >Get Started</h2><div><p>NVIDIA Inception and NVIDIA Connect members can now unlock <strong>$5,000</strong> in credits for Deepchecks’ LLM Evaluation solutions. Whether you’re an emerging startup or an established enterprise, these credits help fast-track your path to better LLM performance and safer, more reliable AI products.</p>
<ul>
<li>Ideal for startups seeking to refine early-stage LLM applications.</li>
<li>Suited for companies looking to scale or run enterprise-grade solutions.</li>
</ul>
<p>Access your benefits through the NVIDIA program portals, or reach out to us at <a href="mailto:info@deepchecks.com"><span style="font-weight: 400;">info@deepchecks.com</span></a> with any questions. Our team is committed to helping you deploy more robust, compliant, and explainable LLM-based applications – empowered by best-in-breed evaluation tools.</p>
</div></div></div>					<div class="post-newsletter-subscribe"><div class="sub-title">Deepchecks For LLM EVALUATION</div><h2 class="h2-title mb-3">NVIDIA ❤️ Deepchecks</h2><div class="mb-2"><ul class="ul-check-list is-light grid-columns-3"><li>Version Comparison</li><li>AI-Assisted Annotations</li><li>CI/CD for LLMs</li><li>LLM Monitoring</li></ul></div><div class="post-btns">
    <a href="/llm-evaluation/" class="btn btn-secondary">TRY LLM EVALUATION</a>
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