GenStaq.ai’s Post

✨ 𝐓𝐞𝐜𝐡𝐢𝐞𝐬, 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐋𝐎𝐕𝐄 𝐆𝐞𝐧𝐒𝐭𝐚𝐪.𝐚𝐢! ✨ Here’s what Vaibhav Singh, 𝐏𝐡𝐃 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 𝐚𝐭 𝐌𝐢𝐥𝐚 - 𝐐𝐮𝐞𝐛𝐞𝐜 𝐀𝐈 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞, wrote about our RAG Engine: "As a PhD researcher, I had the opportunity to work with GenStaq.ai’s comprehensive RAG platform for evaluating RAG pipelines. Their playground and API allowed seamless analysis using industry-standard metrics like sacreBLEU, TER, BERTScore, ROUGE, and custom Semantic Similarity measures. The platform’s low hallucination rate and modular design, offering flexibility in fine-tuning Embedding Models, Language Models, and scalable Vector Databases, made it an ideal tool for my research. With seamless API integration, large-scale experimentation, and exceptional support, GenStaq.ai stands out as a leading solution for researchers in generative AI and information retrieval." 🌟 𝐎𝐮𝐫 𝐞𝐚𝐫𝐥𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐚𝐫𝐞 𝐫𝐚𝐯𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐀𝐆 𝐄𝐧𝐠𝐢𝐧𝐞 for its accuracy in extraction and retrieval! 🔍 Don’t miss out—𝐭𝐫𝐲 𝐢𝐭 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄 𝐰𝐢𝐭𝐡 𝐨𝐮𝐫 𝟏𝟒-𝐝𝐚𝐲 𝐭𝐫𝐢𝐚𝐥! GenStaq.ai | Shivam K. | Dileep Gudimetla | Lakshya Dhariwal #rag #genai #llmops #freetrial #developers