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AGI won’t come from more web text. It’ll come from models that learn from reality—see, act, test, and improve with real feedback & tools—so they create new knowledge, not just repeat ours. #LearnFromReality #AGI #AI #AIResearch #EmbodiedAI #ReinforcementLearning #SelfSupervised

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Solve the issue. Started doing some Research on web then going through several posts and videos, I'm able to solve the issue. So, the moral of this incident is when a problem arises don't give up suddenly, take some time, go back, try to find a solution. If you are not able to. .

Today I have forgotten my laptop's MacBook pro m1 password. By trying several times my account got locked. I planned to go to Bangalore after two days, but because of the laptop issue i thought about prepone the journey. But suddenly i think that taking some time to try to solv. .

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and secure solution for addressing complex text generation and automation challenges in various business domains. #GenerativeAI #EnterpriseAI #RAG #TextGeneration #AIforBusiness #LanguageProcessing #DataSecurity #PrivacyFocused #NLP #ScalableModels #ToolIntegration.

Cohere provides support for both cloud-based and on-premises deployments, catering to diverse enterprise requirements and regulatory considerations. Command-R represents a significant advancement in generative AI technology, offering enterprises a scalable, accurate,.

7. Availability and Integration:.Command-R is available through Cohere’s hosted API and will soon be accessible on major cloud platforms, facilitating seamless integration into existing enterprise infrastructures.

The model is designed to uphold strict privacy standards while delivering powerful AI capabilities.

6. Privacy and Security:.Cohere prioritizes privacy and data security, ensuring that Command-R can be safely deployed in enterprise environments where sensitive information is involved.

5. Longer Context Window:.Command-R supports a longer context length, allowing it to consider up to 128k tokens of context in its processing. This extended context window enhances the model’s ability to understand and generate responses based on comprehensive information.

Additionally, Cohere’s Embed and Rerank models support over 100 languages natively, further extending the model’s reach and applicability.

4. Language Support:.The model excels in handling 10 major languages commonly used in global business operations, ensuring effective communication and interaction across diverse linguistic environments.

3. Accuracy and Performance:.Command-R offers strong accuracy on RAG and tool use tasks, making it suitable for high-stakes enterprise applications. It has low latency and high throughput, ensuring efficient processing of large volumes of data and user queries.

This capability allows Command-R to be integrated into various enterprise systems and infrastructure, enhancing its utility beyond traditional text generation tasks.

2. Tool Use:.Command-R is not just limited to generating text; it can also interact with external tools and APIs to perform complex tasks and automate workflows.

Retrieval involves searching relevant information from databases or other sources, while augmented generation uses this retrieved information to generate more informed responses.