Remove AI Automation Remove Conversational AI Remove Prompt Engineering
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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

turbo, the models are capable of handling complex tasks such as data summarization, conversational AI, and advanced problem-solving. Use Cases Content Creation : Automating content production for marketing, technical documentation, or social media management. Key Features Advanced Models : With access to GPT-4 and GPT-3.5-turbo,

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Less is more: How ‘chain of draft’ could cut AI costs by 90% while improving performance

Flipboard

Zoom researchers unveil "chain of draft," which cuts AI token usage by 92%, transforming the economics of language model deployment. Read More

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Anthropic just launched a new platform that lets everyone in your company collaborate on AI — not just the tech team

Flipboard

Anthropic launches upgraded Console with team prompt collaboration tools and Claude 3.7 Sonnet's extended thinking controls, addressing enterprise AI development challenges while democratizing prompt engineering across technical and non-technical teams. Read More

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Create a generative AI-based application builder assistant using Amazon Bedrock Agents

AWS Machine Learning Blog

Additionally, agents streamline workflows and automate repetitive tasks. With the power of AI automation, you can boost productivity and reduce cost. In this case, use prompt engineering techniques to call the default agent LLM and generate the email validation code. What are some S3 best practices?