If you are interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs Find me → @Sumanth_077 Everyday, I share tutorials on above topics! Like/RT the first tweet to help this reach more people!
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Kaggle: Access Thousands of Free Datasets for Data Analysis
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2. Kaggle No Introduction is required to kaggle, you can find 1000's datasets which you can download and use for free https://
kaggle.com/datasets -
Open ML: Access 20K+ Datasets for Machine Learning
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3. Open ML Find 20K+ datasets on Open ML https://
openml.org -
Cohere Rerank 3 Now Natively Supported in Elastic
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We are excited to announce that Rerank 3 is supported natively in @elastic
’s Inference API starting today. To start building enterprise search systems with Cohere and Elastic, check out the latest guide: -
Rerank 3 Achieves 2-3x Speed Improvement in Inference Performance
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Rerank 3 is extremely efficient, offering state-of-the-art throughput with a 2-3x improvement in inference speed compared to prior models. We understand that in many business domains, such as customer support, quality results need to be delivered quickly.
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Rerank 3 Improves RAG Efficiency While Reducing Costs Significantly
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An increasingly common approach for RAG is using generative LLMs to prioritize information from large sets of documents. Rerank 3 provides a better solution, outperforms on ranking accuracy while being between 90-98% less expensive.
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Rerank 3 Expands Context Length to 4K Tokens
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Rerank 3 boasts a 4k context length. This enables customers to pass longer documents to our model, allowing more context from the document to be considered when determining a relevance score (and reducing the need for chunking).
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Rerank 3 Enables Advanced Code Repository Search and Retrieval
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Rerank 3 demonstrates strong code retrieval capabilities, enabling search and retrieval over an enterprise’s proprietary code repository or over huge corpuses of documentation.
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Rerank 3 Handles Complex Enterprise Data with Metafields
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Enterprise data is often complex. Rerank 3 can rank multi-aspect data, such as emails, while accounting for metafields like recency. It also offers strong performance on semi-structured data formats such as JSON documents and tables.
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Rerank 3: Foundation Model for Enterprise Search and RAG
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Introducing Rerank 3: our newest foundation model purpose built to enhance enterprise search and Retrieval Augmented Generation (RAG) systems, enabling accurate retrieval of multi-aspect and semi-structured data in 100+ languages.