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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Let's dive into the top options and their impact on enterprise AI. Key Benefits of LLM APIs Scalability : Easily scale usage to meet the demand for enterprise-level workloads.

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Relevance AI Review: Can AI Agents Replace New Hires?

Unite.AI

What if your team could focus on creative, strategic work while AI-powered agents handle the repetitive, time-consuming tasks? It's the power of AI automation brought to life by Relevance AI ! Did you know that 94% of companies perform repetitive tasks which can be streamlined through automation?

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10 Best AI Agents for Business Automation (2025)

Unite.AI

In a 2024 survey of large enterprises , 82% of companies said they plan to integrate AI agents within the next 13 years to drive efficiency and free workers from repetitive tasks. Recent statistics also underscore the rapid growth and impact of AI automation. Multi-LLM support: (OpenAI, Anthropic, HuggingFace, etc.)

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Amazon Bedrock announces general availability of multi-agent collaboration

AWS Machine Learning Blog

Multi-agent collaboration across industries Multi-agent collaboration is already transforming AI automation across sectors: Investment advisory A financial firm uses multiple agents to analyze market trends, risk factors, and investment opportunities to deliver personalized client recommendations.

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Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

Analytics Vidhya

A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks.

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Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents

Flipboard

Hallucinations in large language models (LLMs) refer to the phenomenon where the LLM generates an output that is plausible but factually incorrect or made-up. The retrieved information is then provided to the LLM, which uses this external knowledge in conjunction with prompts to generate the final output.

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

AWS Machine Learning Blog

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. Additionally, agents streamline workflows and automate repetitive tasks. Explain the following code in lucid, natural language to me.