We are excited that @scale_AI has now added Cohere’s Command model and Rerank technology to their GenAI platform to customize business applications with fine-tuning and use RAG for accurate responses. This move will help unlock the powerful potential of AI for enterprise
@cohere
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Cohere AI Lab Launches Aya for Underrepresented Languages
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Congrats to @CohereforAI, our non-profit research lab, on the launch of Aya! This research addresses an important gap with generative AI models and creates a resource to help unlock the powerful potential of this technology for under-represented languages and cultures globally. https://t.co/egH0ZzWB1b
— Cohere (@cohere) 13 février 2024Congrats to @CohereforAI
, our non-profit research lab, on the launch of Aya! This research addresses an important gap with generative AI models and creates a resource to help unlock the powerful potential of this technology for under-represented languages and cultures globally. -
Connecting Chatbots to External Data Sources via RAG
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Learn how to connect chatbots to external data sources via RAG: https://
txt.cohere.com/exploring-chat
-rag/
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RAG Approach: Combining Generative Models with Retrieval Systems
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RAG is an umbrella term for combining a generative language model and a retrieval system. @PSH_Lewis, Manager of Technical Staff in RAG at Cohere, explains our approach to building RAG models in the video below. Check it out! pic.twitter.com/fko1ac6Pn3
— Cohere (@cohere) 11 février 2024RAG is an umbrella term for combining a generative language model and a retrieval system. @PSH_Lewis
, Manager of Technical Staff in RAG at Cohere, explains our approach to building RAG models in the video below. Check it out! -
Finetuning Rerank for Your Specific Use Cases
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You can learn more about finetuning Rerank for your use case here:
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Cohere Rerank: Semantic Search for Legacy Retrieval Systems
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You can use Rerank to infuse legacy retrieval systems with semantic search capabilities that increase the relevance of retrieved results.
— Cohere (@cohere) 10 février 2024
Check out Cohere's Senior Product Manager, Elliott Choi, explaining how a sample Rerank API call works. pic.twitter.com/jxxcqbNusHYou can use Rerank to infuse legacy retrieval systems with semantic search capabilities that increase the relevance of retrieved results. Check out Cohere's Senior Product Manager, Elliott Choi, explaining how a sample Rerank API call works.
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Cohere releases Go SDK with Fern for better documentation
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We’re excited to work with @buildwithfern to produce an always-up-to-date, well-documented Go SDK. Stay tuned for more language support in the coming weeks. https://
github.com/cohere-ai/cohe
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Cohere Officially Launches Go Language Support
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Cohere now officially supports Go: https://t.co/0Bi5W24T2R! Here’s a short video to help you get started: pic.twitter.com/YlsblMPLS4
— Cohere (@cohere) 9 février 2024Cohere now officially supports Go: https://
github.com/cohere-ai/cohe
re-go
…! Here’s a short video to help you get started: -
Cohere Joins US AI Safety Institute Consortium
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Cohere is excited to join the new U.S. AI Safety Institute Consortium established by @CommerceGov and @NIST
. This marks an important step in our work with policymakers to ensure that AI policy reflects the unique challenges and opportunities that face the enterprise AI sector! -
Choosing the Best LLM Solution for Your Business
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Wondered what AI model would work best for your business? Check out our latest piece with details on how to identify the best-fit LLM solution.
Get started by learning more: