Amjad Raza, Ph.D.’s Post

Cohere's Rerank 3.5 model is a game-changer, offering complex reasoning capabilities never seen before in a reranker! With just a single line of code, you can improve search performance and get better responses. In RAG scenarios, reranking filters search results, ensuring the most relevant information is passed to the AI model, which leads to lower costs. We tested the model on a financial services dataset and found it to be a whopping +23.4% better than Hybrid Search and +30.8% better than BM25.

Check out Cohere’s newest Rerank 3.5 model, now with complex reasoning - a first ever for a reranker. We tested on a financial services dataset and found Rerank 3.5 performance to be +23.4% better than Hybrid Search and +30.8% better than BM25.

Super exciting Cohere announcement with our latest model release with both (a) getting live on AWS Bedrock (b) retrieval and accuracy performance - in VB's words this "will fundamentally reshape how global enterprises handle information retrieval" Full article here: https://lnkd.in/e_Z_ZfNU #GenAI #AWS #AWSBedrock #Cohere

Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws

Introducing our latest AI search model Rerank 3.5 - with SOTA reasoning and multilingual capabilities for the best search on your most complex data!

This is huge! We launched our latest Search Model this week. Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code.

Check out Cohere’s newest Rerank 3.5 model, now with complex reasoning - a first ever for a reranker. We tested on a financial services dataset and found Rerank 3.5 performance to be +23.4% better than Hybrid Search and +30.8% better than BM25. 

I made a quick simple test in Arabic using the multilingual model (rerank-multilingual-v3.0) API and got good results (similar to jinaai/jina-reranker-v2-base-multilingual). What I noticed also was small relevance scores for harder queries (even smaller in Cohere). Earlier, I used Jina reranker on the MMARCO translation dataset (Arabic) and tried to create a knowledge distillation model (COLBERT) with AraBERT as base model. I could retrieve documents against queries but relevance scores were close. I then picked data for training where scores were well-spread (32 docs per query) and trained models with minor improvements. Long story short, translation does not work for this task in Arabic. For those willing to invest in this field (time, talent and money), my advice is to work on original quality data and a native Arabic tokenizer.

Honored to Be Featured in Harvard Business Review! Thrilled to share my thoughts on the transformative potential of AI and Generative AI (Gen AI) in healthcare and beyond, as part of an interview with Harvard Business Review. At Fresenius Medical Care, we are focusing on delivering personalized, compassionate care to our patients. Central to this effort is unlocking the value of data—particularly unstructured data, often referred to as "dark matter" in the Data Universe. With the advancements in Gen AI, this once-hidden treasure of information is now within reach, enabling new insights and innovations. Scaling Gen AI efforts comes with challenges, such as mitigating risks, fostering culture change, and building trust. However, with a responsible and safe approach, the opportunities are extraordinary. While AI isn't a silver bullet, its impact—like the convenience we experience in our daily lives—can be transformational. Gen AI signals that it’s no longer business as usual. To thrive in this era, we must integrate AI into our business strategies—or at the very least, ensure our strategies are empowered by it. Thanks for this opportunity to contribute to the dialogue on how AI is shaping the future, and thanks to my dear colleagues in FME for their invaluable support in bringing this publication to life. #GenerativeAI #AIInnovation #HealthcareTransformation #Leadership #HarvardBusinessReview, Amazon Web Services (AWS), Frank Maddux MD, FACP, Peter Kotanko, MD, Jeannine Sohayda, Amy Asman, Emanuela C., Stephanie Spencer

Scaling Generative AI is discussed as a strategic imperative. I agree that such scaling must be at the top of any manager’s agenda for 2025 business planning and strategic implementation. The following webinar from Harvard Business Review offers insightful comments about Generative AI and the scaling thereof. The webinar is artfully presented and very well organized.