Want to be sure which LLM performs best for your product? We're offering free access to Reva to help you evaluate different models on your specific tasks. Limited spots available. Ping me (Alex Kirwan) directly, or sign up here: https://www.tryreva.com/
关于我们
Outcome-driven AI strategy. Get real returns on your AI investment. Many businesses invest in AI without seeing real returns. Reva helps you use the latest and greatest advancements to help your business get the best outcomes for your tasks.
- 网站
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https://tryreva.com
Reva的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 类型
- 私人持股
- 创立
- 2024
- 领域
- AI、Testing、System design和Machine Learning
Reva员工
动态
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Have you ever wondered if switching LLMs would improve your product? Or how different configurations would impact performance? Reva lets you test and compare LLMs using real historical data to predict outcomes before shipping. We're in closed-beta. For a product walkthrough ping me (Alex Kirwan) directly, or signup to our waitlist here: https://www.tryreva.com/
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???Choosing the right AI model is less about following benchmark trends and more about understanding your own needs deeply. ???Don't follow industry hype - be data driven down to your very task and optimise for it with Reva. https://lnkd.in/ep4ktbif
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Everyone's building RAG systems. Most aren't measuring what matters. A quick guide on what actually matters when evaluating retrieval and generation - based on our work with production systems: https://lnkd.in/ewK-hmWt #AI #LLM #RAG
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?? "But our evals look good!" There are well-established frameworks for testing software. But these frameworks do not work for LLM-powered systems. Testing LLM products requires more than just evals and eyeballing outputs ?? In our latest post we take a look at: ?? Why traditional testing approaches fall short ?? Where evals make sense, and where they don't ?? Why teams need comprehensive testing at real scale ?? The shift from deterministic to probabilistic testing https://lnkd.in/e3MpJr2x We've seen teams move from "we think this works" to "we know this works" ?? If you want to be in the latter camp, sign-up to our Beta.
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Building AI products? Your dev process might be holding you back. LLMs aren't just features - they're part of the product. But traditional product development processes don't work when inputs & outputs are unpredictable. Here's why systematic testing infrastructure is crucial for shipping AI with confidence. https://lnkd.in/exDphmJi
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Shipping LLM products at scale? The biggest challenge isn't building - it's knowing if they'll perform on the specific task at hand. Without reliable testing, you're flying blind. Especially at scale. That's why we built Reva: Our backtesting infrastructure helps teams validate and measure LLM performance against business outcomes. Now you can ship with certainty, not vibes. https://lnkd.in/eX5HgATP
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?? New Analysis: We've just published an in-depth benchmarking study comparing customer service LLMs, specifically examining Intercom's transition from OpenAI to Anthropic. https://lnkd.in/efUxXxmG We've just launched our Alpha product and we're looking to talk with companies serious about driving real returns on their AI investment. #AI #LLM #OpenAI #Anthropic