Ningsuhen Waikhom

Discover Mockingbird, Vectara’s advanced Retrieval Augmented Generation #RAG and structured output-focused Language Learning Model #LLM. Suleman Kazi, Vivek Sourabh, Rogger Luo & Abhilasha Lodha take you on a technical deep dive into Mockingbird's impressive performance and capabilities. 1️⃣ Why Another LLM? - Learn why Vectara developed its own LLM focused on tasks that matter to our customers. 2️⃣ Training Mockingbird - Explore the rigorous training process for RAG and structured output tasks. 3️⃣ Evaluation Metrics - See how Mockingbird excels in generation quality, citations, and structured output. 4️⃣ Human Ratings - Understand the human evaluation process and how Mockingbird compares to leading models like GPT-4. Mockingbird is integrated into the Vectara platform, offering unparalleled performance with high-quality, secure outputs. 🌐 Dive into the full blog and see how Mockingbird can transform your data handling and generation processes. https://gag.gl/2WqJGM?

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I recently attended AI Day at Accel Launchpad and was inspired by the innovative talks from the Dashtoons co-founder Soumyadeep Mukherjee and the Pragna-1B creators Abhishek Upperwal from Socket Labs. Here are my key takeaways: How to Stay Ahead in a Rapidly Evolving AI Landscape 1. With AI models changing quickly, innovations can become obsolete in weeks. To stay ahead, focus on niches with high user expectations and unmet needs where AI isn't yet effective. Pursue these areas vigorously and be ready to lead when the right AI solution arrives. Power of Traditional Techniques with Modern Enhancements 2. The Pragna founders emphasized that refined traditional techniques combined with the latest tech stack can be highly effective. They highlighted the importance of training models on smaller, cleaner datasets rather than large, noisy ones. Their fused tokenizers approach exemplifies how simple, powerful ideas drive advancements. #AI #Innovation #TechTrends

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