Stowheath Training Day Training Centre demolition can go ahead
It has since awarded a near £3m contract to fill mineshafts and clear up the two sites for the housing plans.
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Geeky Gadgets
2 hours ago
- Geeky Gadgets
Why Most AI Apps Fail Before Launch and How to Beat the Odds
Have you ever wondered why so many promising AI applications never make it past the prototype stage or fail to deliver on their potential? Despite the buzz around artificial intelligence, shipping a functional, scalable AI app is far from straightforward. Unlike traditional software, AI applications come with a unique set of challenges: skyrocketing operational costs, safeguarding against misuse, and the constant pressure to meet ever-evolving user expectations. It's a high-stakes balancing act where even small missteps can lead to spiraling expenses or a poor user experience. For developers and businesses alike, the road to deploying AI isn't just bumpy—it's a minefield. App developer Chris Raroque explains the hidden complexities of bringing AI-powered applications to life and uncover strategies to navigate them effectively. From optimizing operational expenses to designing user-centric platforms, you'll gain insights into the real-world challenges that go beyond the hype. Whether it's using multiple AI models to balance performance and cost or carving out a competitive edge with niche-specific solutions, this guide will show you how to overcome the hurdles that make shipping AI apps so hard. Because in a world where innovation often outpaces practicality, success lies in mastering the details that others overlook. AI App Development Challenges Cost Management: Optimizing Operational Expenses AI applications, particularly those powered by large language models, demand significant computational resources, which can lead to high operational costs. For instance, processing lengthy conversation histories or prompts for every interaction can quickly inflate expenses. To manage these costs effectively, consider adopting the following strategies: Shorten prompts to include only the most relevant information, reducing unnecessary data processing. Implement a 'window' technique to limit the conversation history processed by the model, focusing only on recent and pertinent interactions. These methods help minimize resource consumption while maintaining a seamless user experience. By optimizing operational expenses, you can ensure your application remains cost-effective without compromising its functionality or quality. Abuse Prevention: Protecting Your System AI systems are inherently vulnerable to misuse, which can result in excessive costs, degraded performance, or even system failures. To safeguard your application and maintain its reliability, you should implement robust protective measures, such as: Setting limits on message size and user activity, such as daily or monthly usage caps, to prevent overuse. Incorporating a remote kill switch to disable abusive accounts in real time, making sure immediate action against misuse. Using analytics tools to monitor usage patterns and detect anomalies that may indicate abuse. These safeguards not only protect your system from potential threats but also ensure a consistent and reliable experience for all users, fostering trust and satisfaction. The Real Challenges of Deploying AI Apps Watch this video on YouTube. Browse through more resources below from our in-depth content covering more areas on AI application development. Using Multiple AI Models: Balancing Efficiency and Performance Relying on a single AI model for all tasks may seem straightforward, but it is often inefficient and costly. Instead, deploying multiple models optimized for specific tasks can significantly enhance both performance and cost efficiency. For example: A lightweight model can handle basic queries quickly and efficiently. A more advanced model can address complex or nuanced requests that require deeper analysis. By incorporating a decision layer, your system can dynamically select the most appropriate model based on the user's input. This approach ensures that resources are allocated efficiently, reducing costs while maintaining high levels of performance and responsiveness. Platform Optimization: Designing for the Right Environment The success of your AI application depends heavily on how well it aligns with its intended platform. For example, if your application is primarily used on mobile devices, adopting a mobile-first design approach is essential. Features such as voice dictation, quick commands, and streamlined interfaces can significantly enhance usability for on-the-go users. By tailoring your design to the platform, you can create a seamless and intuitive user experience that meets the specific needs of your audience. Framework Utilization: Accelerating Development Building an AI application from scratch can be a time-intensive and error-prone process. To streamline development and improve reliability, you can use existing frameworks like the Versel AI SDK or similar tools. These frameworks offer pre-built functionalities that simplify the development process, including: Streaming capabilities for real-time interactions, enhancing responsiveness. Error handling mechanisms to improve system stability and reliability. Tool integration options to expand the functionality of your application. By using proven frameworks, you can focus on developing core features while reducing development time and making sure a stable, high-quality product. Personalization: Delivering Tailored User Experiences Personalization plays a crucial role in creating engaging and user-friendly AI applications. Allowing users to specify preferences in natural language can significantly enhance their experience. For instance, users might request a specific tone, style, or level of detail in responses, and your application can adapt accordingly. This level of customization not only improves user satisfaction but also helps differentiate your product from generic AI tools, making it more appealing and valuable to your target audience. Niche-Specific Solutions: Carving Out a Competitive Edge In a market dominated by general-purpose AI tools like ChatGPT or Claude, focusing on niche-specific solutions can give your application a distinct competitive advantage. By addressing the unique needs of a specific audience, you can provide a more tailored and efficient experience. For example, an AI tool designed for legal professionals might include features such as legal document summarization, case law analysis, or contract drafting assistance. These specialized capabilities make your product more valuable and relevant to its target users, helping it stand out in a crowded marketplace. Key Considerations for Successful AI Application Development To navigate the complexities of AI application development effectively, keep the following considerations in mind: Monitor costs and usage from the outset to avoid unexpected expenses and ensure long-term sustainability. Use multiple models to balance efficiency and performance, optimizing resource allocation. Design with the intended platform in mind to create a seamless and intuitive user experience. Use existing frameworks to accelerate development and enhance system reliability. Focus on niche-specific solutions to differentiate your product and meet the unique needs of your target audience. By addressing these factors with careful planning and strategic execution, you can create AI applications that are not only functional but also scalable, cost-effective, and user-friendly. In an increasingly competitive landscape, these considerations will help ensure the success and longevity of your AI product. Media Credit: Chris Raroque Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
BBC News
4 hours ago
- BBC News
Plans in Stoke-on-Trent for nearly 5,000 new homes to meet 'urgent need'
Plans to deliver nearly 5,000 homes to meet a city's "urgent need" for housing are set to be approved by City Council has devised a housing development pipeline to help meet the government's national target of delivering 1.5m new homes a programme will see the authority work with Homes England, developers and landowners to deliver 4,857 houses across 23 sites in the council's cabinet is being asked to approve the plans at their next meeting in July. Sites include completed and near-completed developments, such as Goods Yard and Chatterley Court in Chell Heath, as well as sites under development, such as Scotia Road and Bournes Bank in Burslem, Booth Street in Stoke, the former Doris Robinson Court site in Meir and the former Brookhouse Primary School site in Wellfield Road, to the council, the number of applicants on their housing register has been climbing over the last three are more than 3,138 households on the register, a 41% increase in the last 12 months. Over half of those households are in urgent and high need for the same time, the council's housing stock has fallen by 2,550 homes -13% - over the last 10 years. Almost 1,800 homes included in the council's housing pipeline project are expected to be affordable homes for people on the housing addition to this, the council is proposing to deliver an Empty Homes programme of around 100 new homes per Chris Robinson said: "We recognise that there is an urgent need to deliver new homes in the city to meet the increasing demand and, while it will be challenging, we are committed to working closely with our partners to increase the pace and scale of housebuilding across Stoke-on-Trent."We need to act quickly and take action to ensure all our residents can access decent homes in a city where they can stay, grow and thrive – and watch their children do the same." Follow BBC Stoke & Staffordshire on BBC Sounds, Facebook, X and Instagram.
BBC News
a day ago
- BBC News
Windermere Gateway development gets £12m for roads and housing
A major project planned for a popular town has received more than £12m worth of funding to deliver roads and housing needed for its Windermere Gateway Project involves the transformation of the Orrest Head Farm site, within the Lake District National Park, for tourism, employment and housing objections, plans were approved and now it has received a £9.95m grant from Homes England to deliver highways works, with an additional £2.5m from Westmorland and Furness Council to build affordable leader Jonathan Brook said the grant would allow it to deliver affordable homes in "one of the most unaffordable areas" of the area. He said it was a "complex project, with many interdependent parts"."It will pave the way for a significant number of affordable homes in one of the most unaffordable areas of Westmorland and Furness, particularly impacted by second homes and short-term holiday accommodation, which puts further strain on housing provision for local residents," he project, which is being built on land owned by the National Trust, aims to tackle traffic flow, redevelop Windermere's railway station, build homes and provide employment opportunities. It forms a partnership between National Trust, the Lake District National Park Authority, Westmorland and Furness Council and housing developer Urban Splash, which, the council says, will work with a registered social housing provider to bring forward affordable include 242 new homes on the site, with 133 proposed to be affordable following the £2.5m grant from the council's Affordable Housing council says the homes will be made available for permanent occupancy - not second homes or holiday lets. Further details are set to be confirmed in an outline planning application, due to be submitted by Urban Splash later this year. The £9.95m Brownfield, Infrastructure and Land Funding from Homes England will go towards highways works for the project, which were approved by the Lake District National Park Authority (LDNPA) development control committee in documents submitted to LDNPA said works to the A591 and Thwaites Lane would "unlock" the council said if the application for housing was not granted, then the Homes England-funded highways works would not proceed. Follow BBC Cumbria on X, Facebook, Nextdoor and Instagram.
