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AI will lead to cut in human workers, executives admit

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New research has found implementing AI tools across various business functions is likely to reduce human workforces over the next five years.

The survey from Adecco of senior-level execs from 2,000 large companies worldwide alluded to AI’s negative impacts on the workforce after many had eased their concerns in recent months, and many more became distracted with re-introduced office-working policies.

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Philips debuts three highly affordable displays for home workers — but no 4K resolution

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Philips is expanding its E1 series of business monitors with the addition of three new models designed to cater to the needs of professionals and remote workers.

The high-end Philips 27E1N1600AE comes with HDMI 1.4 and USB-C 3.2 connectivity with 65W Power Delivery. The 27-inch IPS panel offers QHD (2560 x 1440) resolution and HDR. The model also comes with a 100mm height-adjustable stand.

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California wants to introduce a law that will force workers to disconnect from work

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In an attempt to help citizens across the state have some respite from the pressures of work, California State Assembly member Matt Haney has introduced AB 2751, a proposition designed to give workers the “right to disconnect” from work-related communications outside of working hours.

AB 2751 draws inspiration from similar legislation in countries like France, Spain, and Ireland. If passed, it would set a precedent for not only the US but other countries globally. In recent months, all eyes have been on California’s tech sector over concerns that Silicon Valley’s work-life balance has degraded.

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Remote workers won’t be put up for promotion, Dell declares

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According to a new report by Business Insider, Dell has announced a significant policy change that will impact its remote workforce.

Starting in May, fully remote Dell employees will no longer be eligible for promotion within the company. Employees are said to have told the publication that their remote setups had enabled them to adjust to other life factors. The flexibility had cut them some slack to perform better.

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Why printers are the ideal productivity tool for home and office workers alike

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Alongside the developments in digitisation and smart technologies, having reliable hardware tools such as an office printer is still an essential component to any small business office or home workspace. With recent figures from the ONS claiming 1 in 4 workers now have some kind of hybrid working model, providing the flexibility to print whatever and whenever is crucial for workers everywhere.

With many of us regularly splitting work between the office and at home, having a printing solution that is reliable and efficient has never been as important – and fortunately, HP is able to offer a range of printing solutions to suit all budgets and workforces, from independent workers and freelancers up to smaller businesses looking to grow and prosper.

If you’re looking to expand your business, you want employees who are equipped and enabled to be productive – and constantly shuttling between a desk and a printer is a sure way to ensure that fewer things get done. The HP OfficeJet Pro 9100 printer series offers a powerful and efficient printing solution for all your reports, budget docs, proposals and more. Customers can have up to 14 printers networked together in an office without the need for extra hardware or IT support, meaning your business is equipped to work seamlessly, and can focus on getting work done with less tech disruption.

HP printer

(Image credit: HP)

For those looking for something more flexible,the HP OfficeJet Pro 9100b printer series focuses on the needs of managers and IT decision makers alike, particularly those who need to travel between multiple locations such as different office branches. This device provides a powerful and affordable way to get printing fast, offering reliable and adaptable printing for those who arrive in an office and need to have the most up to date documents ready and waiting.

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Using AutoGen 2.0 to easily create AI automations and workers

 

Microsoft AutoGen AI framework to build AI workflowsMicrosoft AutoGen AI framework to build AI workflows

If you are interested in  creating a workforce of AI assistants or using AI to automate workflows and processes to improve your productivity or business workflows. You should deftly check out the automated AI agent creation and workflow system released by Microsoft. AutoGen is a framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools. AutoGen has been made available by Microsoft and is now in its second generation.

Automating tasks using AI has become more accessible than ever and AutoGen 2.0 is at the forefront of this shift, offering a sophisticated suite that simplifies the creation and management of AI assistants. This tool is a boon for those looking to enhance their workflow without needing deep development knowledge.

Building AutoGen 2.0 AI assistants

One way to  get started with AutoGen 2.0, is to install Anaconda, which is essential for handling Python environments and packages. Anaconda is particularly useful for scientific computing, making it a great choice for AI development. After setting up Anaconda, you’ll need to create a new Python environment to keep your AI projects organized and separate from other work.

The next important task is to obtain an OpenAI API key. This key connects AutoGen Studio with OpenAI’s language models, like GPT-3, which are at the cutting edge of AI technology. With this key, your AI assistant will be able to perform a wide range of tasks with remarkable capability.

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Once you have your API key, you can install AutoGen Studio using pip, the package manager for Python. A few commands in your terminal or command prompt are all it takes to get AutoGen Studio up and running.

Using AutoGen to build AI automations

  • Launching AutoGen Studio reveals an intuitive user interface that’s been designed for ease of use. The interface includes thoughtful features such as dark mode, which is easier on the eyes during long coding sessions. Navigating through the various options and settings is straightforward, making the experience user-friendly.
  • At the core of AutoGen 2.0 are agent workflows. These are sequences of tasks that your AI agents will carry out. You’ll learn how to create and adjust these workflows to match your specific goals, whether that’s analyzing data, generating content, or something else entirely.
  • Skills are another fundamental aspect of AutoGen 2.0. By developing skills, your agents can run code locally, which improves response times and privacy by reducing the need to connect to external servers.
  • Agent templates are also available within AutoGen 2.0. These pre-built models provide a starting point for your AI assistants, saving you time and allowing you to concentrate on tailoring them to your needs.
  • Customization is a critical feature of AutoGen 2.0. You’ll learn how to modify workflows to fit your unique requirements. By combining different agents and skills, you can create complex sequences that handle intricate tasks with ease.
  • The platform includes a playground area where you can experiment with crafting sessions for your models. This space is perfect for testing and refining how your AI assistant responds and acts. Once you’ve perfected a session, you can save it in the gallery for later use. This allows you to build on successful configurations for future tasks.

Main features of AutoGen

  • AutoGen enables building next-gen LLM applications based on multi-agent conversations with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses.
  • It supports diverse conversation patterns for complex workflows. With customizable and conversable agents, developers can use AutoGen to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology.
  • It provides a collection of working systems with different complexities. These systems span a wide range of applications from various domains and complexities. This demonstrates how AutoGen can easily support diverse conversation patterns.
  • AutoGen provides enhanced LLM inference. It offers utilities like API unification and caching, and advanced usage patterns, such as error handling, multi-config inference, context programming, etc.

Imagine using AutoGen 2.0 to set up an AI assistant that can retrieve, analyze, and visualize stock price data. This kind of task can be carried out smoothly within AutoGen Studio, showcasing the tool’s practicality and efficiency. To truly tap into the power of AutoGen Studio, it’s advisable to experiment with different workflows and settings. This exploration will help you understand the tool’s full potential to enhance your workflow and increase productivity.

AutoGen 2.0 is a powerful asset for anyone looking to create AI assistants and AI automations. By following the steps outlined above, you’ll be well on your way to automating tasks effectively and achieving new heights of efficiency in your work. Whether you’re a seasoned developer or someone with a semi-technical background, AutoGen 2.0 has the capabilities to transform the way you approach task automation.

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Build a team of AI workers for your business using CrewAI

Build a team of AI workers for your business using CrewAI

Having access to a single AI assistant is fantastic but what if you could create  an entire workforce of AI assistants that can communicate together to solve problems, code and help you with those mundane tasks of daily life. A new platform is making waves among developers and tech enthusiasts called CrewAI and has been specifically designed to build AI workersfor a wide variety of different applications.

Offering a powerful AI tool that simplifies the orchestration of autonomous AI agents, enabling them to work together to accomplish complex tasks. This open-source platform is not only easy to use but also highly efficient, quickly garnering attention and a growing community on platforms such as GitHub. Providing users with a “cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.”

CrewAI workflow

At the heart of CrewAI is a role-based agent design, which allows users to assign specific roles and tasks to each AI workers. This structured approach ensures that each agent operates within its area of expertise, contributing to the team’s overall performance and the achievement of a shared objective. The platform’s collaborative nature is particularly beneficial for projects that require a combination of diverse skills and knowledge.

One of the standout features of CrewAI is its compatibility with a range of language learning models, both open-source and proprietary. This versatility makes it an ideal tool for developers looking to integrate different AI capabilities into their projects. Additionally, CrewAI’s custom GPT (Generative Pre-trained Transformer) facilitates interactive queries about the platform’s features, providing an intuitive experience for users.

Building autonomous AI workers

Matthew Berman explains more about the CrewAI framework that has been specifically designed to help you build autonomous AI agent teams with a focus on giving them tools, delegation powers, and more.

Learn more about CrewAI  and how you can build an army of AI workers to improve productivity and efficiency in your business or personal life. Prompt Engineering has created an overview video low showing how you can build your own team of autonomous AI agents.

“CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit – much like a well-oiled crew. Whether you’re building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions.”

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CrewAI is not exclusively for seasoned experts; it also caters to beginners by offering a comprehensive guide for building applications such as chatbots. This step-by-step guide walks users through the entire development process, from conceptualization to deployment, making it accessible to a wide range of developers.

One of the platform’s key advantages is its accessibility. Available through a Google Colab notebook, CrewAI is free and straightforward to use. Users can easily set up their projects by importing the necessary packages and defining their agents, complete with designated roles, goals, and tools.

The platform’s dynamic task assignment feature allows for the creation of a crew of agents that can execute tasks in a sequential or planned manner, providing the flexibility needed to tackle various project requirements. This adaptability is crucial for developers who need to tailor their AI systems to specific tasks.

Features of CrewAI

  • Role-Based Agent Design: Customize agents with specific roles, goals, and tools.
  • Autonomous Inter-Agent Delegation: Agents can autonomously delegate tasks and inquire amongst themselves, enhancing problem-solving efficiency.
  • Flexible Task Management: Define tasks with customizable tools and assign them to agents dynamically.
  • Processes Driven: Currently only supports sequential task execution but more complex processes like consensual and hierarchical being worked on.

Transparency is another core value of CrewAI. The platform enables users to observe the thought processes and actions of the agents, offering insights into their decision-making and problem-solving strategies. This level of transparency is essential for building trust and understanding in the system.

CrewAI is continuously evolving, with ongoing development efforts focused on enhancing its capabilities and optimizing its performance. The platform is at the forefront of autonomous AI agent orchestration, and its future looks promising as it pushes the boundaries of what is possible in this field.

For developers interested in the potential of autonomous AI agents, CrewAI stands out as a top choice. Its open-source nature, user-friendly interface, and robust set of features make it a prime candidate for driving innovation in AI. Whether the goal is to create a simple chatbot or a complex system of collaborative agents, CrewAI provides the foundation necessary for a successful project. As the platform continues to grow and improve, it is poised to play a significant role in the evolution of AI technology, offering developers the tools they need to bring their creative visions to life.

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