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Why AI Developers Are Buzzing About Claude 3.5’s Computer Use Feature

Unite.AI

a powerful new version of its LLM series. A Glimpse into How Claude's ‘Computer Use' Feature Work Anthropic ’s demo video highlights how “ Computer Use” takes Claude from a reactive AI to an active problem-solver. Anthropic has just released Claude 3.5,

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Unveiling Manus AI: China’s Breakthrough in Fully Autonomous AI Agents

Unite.AI

In this approach, it employs LLMs, including Anthropics Claude 3.5 The LLMs are augmented with deterministic scripts for data processing and system operations. For instance, while its demo showcasing dashboard generation works smoothly, users have observed inconsistencies when applying the AI to new or complex scenarios.

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LLM hype brings memories of IBM Watson

Ehud Reiter

And in trying to apply Watson to cancer treatment, one of medicine’s biggest challenges, IBM encountered a fundamental mismatch between the way machines learn and the way doctors work “Dome” above refers to a room that IBM used for Watson demos. Are there lessons for LLMs?

LLM 189
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They Promised Us Agents, but All We Got Were Static Chains

Unite.AI

In the spring of 2023, the world got excited about the emergence of LLM-based AI agents. Powerful demos like AutoGPT and BabyAGI demonstrated the potential of LLMs running in a loop, choosing the next action, observing its results, and choosing the next action, one step at a time (also known as the ReACT framework).

LLM 167
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Build agentic systems with CrewAI and Amazon Bedrock

Flipboard

Flows empower users to define sophisticated workflows that combine regular code, single LLM calls, and potentially multiple crews, through conditional logic, loops, and real-time state management. Flows CrewAI Flows provide a structured, event-driven framework to orchestrate complex, multi-step AI automations seamlessly.

LLM 177
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Beyond “Prompt and Pray”

O'Reilly Media

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. Its quick to implement and demos well. When an LLM doesnt do what you want, your main recourse is to change the input. LLM deployments in the enterprise.

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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning Blog

LLM prompting Amazon Bedrock allows you to choose from a wide selection of foundation models for prompting. In the prompt, we first give the LLM a persona, indicating that it is an office assistant helping humans. The user input is then added as a user message to the prompt and sent via the Amazon Bedrock Messages API to the LLM.